Freelance Big Data Engineer jobs (remote only)

EPAM Anywhere offers remote vacancies for Big Data Engineers. Apply as a freelance Big Data Engineer and work remotely with all EPAM Anywhere benefits.

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senior big data engineer

Data Software Engineering

Data Analytics and Visualization, Databricks, AWS Glue

40 hrs/week

12+ months

Greece, Poland,

and others

Greece, Italy, Poland, Portugal

Learn more

We are seeking a remote Senior Big Data Engineer to join our team.

The candidate should be able to work closely with business stakeholders and technical teams to design, develop and deliver high-quality data products that meet the business requirements. The role involves end-to-end responsibility for data integration, data modeling, and reporting on MicroStrategy, with the option to work with Databricks as well.

responsibilities

Gather business requirements and translate them into technical solutions
Design, develop, monitor, and visualize Customer Data Access Overhaul data product
Integrate high-quality datasets for analytical use-cases
Support in designing incident management process
Enable other data teams to follow the customer standards
Testing (preparation and execution)
Operations of data pipelines including alerting, bug fixing, etc.

requirements

3+ years of hands-on experience in Databricks or similar
3+ years of hands-on experience in MicroStrategy
Bachelor's or Master's degree in Computer Science, Engineering or a related field
Strong skills in data visualization and data modeling
Good understanding of ETL concepts
Apache Spark, PySpark and Python, SQL
AWS Glue + Amazon S3
GitHub + CI/CD
Team player (easy & respectful communications, shares responsibilities for the team's overall success)
Ability to work independently
Communication skills
Organizational skills
Strong problem-solving skills and attention to detail
Ability to handle multiple tasks in a fast-paced environment
Willingness to learn and stay up-to-date with emerging technologies

nice to have

Advanced Databricks skills like delta, cluster configuration, or Databricks APIs
Experience in new technologies like BigQuery, Airflow, Redshift, or Apache NiFi

lead big data engineer

Data Software Engineering

Data Analytics and Visualization, Databricks, AWS Glue

40 hrs/week

12+ months

Greece, Poland,

and others

Greece, Italy, Poland, Portugal

Learn more

We are seeking a remote Lead Big Data Engineer to join our team.

responsibilities

Gather business requirements and translate them into technical solutions
Design, develop, monitor, and visualize Customer Data Access Overhaul data product
Integrate high-quality datasets for analytical use-cases
Support in designing incident management process
Enable other data teams to follow the customer standards
Testing (preparation and execution)
Operations of data pipelines including alerting, bug fixing, etc.

requirements

5+ years of hands-on experience in Databricks or similar
5+ years of hands-on experience in MicroStrategy
Bachelor's or Master's degree in Computer Science, Engineering or a related field
Strong skills in data visualization and data modeling
Good understanding of ETL concepts
Apache Spark, PySpark and Python, SQL
AWS Glue + Amazon S3
GitHub + CI/CD
Team player (easy & respectful communications, shares responsibilities for the team's overall success)
Ability to work independently
Communication skills
Organizational skills
Strong problem-solving skills and attention to detail
Ability to handle multiple tasks in a fast-paced environment
Willingness to learn and stay up-to-date with emerging technologies

nice to have

Advanced Databricks skills like delta, cluster configuration, or Databricks APIs
Experience in new technologies like BigQuery, Airflow, Redshift, or Apache NiFi

senior big data engineer

Data Software Engineering

Data Analytics and Visualization, Databricks, AWS Glue

40 hrs/week

12+ months

Greece, Poland,

and others

Greece, Italy, Poland, Portugal

Learn more

We are currently hiring for the position of Senior Big Data Engineer for a remote work setup.

The ideal candidate will work closely with technical teams and business stakeholders in developing, designing, and delivering high-quality data products that meet business requirements. The role is responsible for end-to-end data integration, modeling, and reporting on MicroStrategy and Databricks platforms.

responsibilities

Translate business requirements into technical solutions
Design, develop, monitor, and visualize Customer Data Access Overhaul data product
Integrate high-quality datasets for analytical use-cases
Design incident management process
Help other data teams follow the customer standards
Conduct testing (preparation and execution)
Operate data pipelines and address alerts, bugs, etc.

requirements

Bachelor's or Master's degree in Computer Science, Engineering, or related field
Minimum of 3 years of experience in Databricks or similar
Minimum of 3 years of experience in MicroStrategy
Strong skills in data visualization and data modeling
Good understanding of ETL concepts
Proficient in Apache Spark, PySpark, Python, and SQL
Familiarity with AWS Glue, Amazon S3, GitHub, and CI/CD
Ability to work independently and as a team player
Strong communication and organizational skills
Strong problem-solving skills and attention to detail
Ability to multitask in a fast-paced environment
Willingness to learn and keep updated with emerging technologies

nice to have

Advanced Databricks skills like delta, cluster configuration, or Databricks APIs
Experience in new technologies like BigQuery, Airflow, Redshift, or Apache NiFi

lead big data engineer

Data Software Engineering

Data Analytics and Visualization, Databricks, AWS Glue

40 hrs/week

12+ months

Greece, Poland,

and others

Greece, Italy, Poland, Portugal

Learn more

We are seeking a remoteWe are currently hiring for the position of Lead Big Data Engineer for a remote work setup.

We are currently hiring for the position of Lead Big Data Engineer for a remote work setup. The ideal candidate will work closely with technical teams and business stakeholders in developing, designing, and delivering high-quality data products that meet business requirements. The role is responsible for end-to-end data integration, modeling, and reporting on MicroStrategy and Databricks platforms.

responsibilities

Translate business requirements into technical solutions
Design, develop, monitor, and visualize Customer Data Access Overhaul data product
Integrate high-quality datasets for analytical use-cases
Design incident management process
Help other data teams follow the customer standards
Conduct testing (preparation and execution)
Operate data pipelines and address alerts, bugs, etc.

requirements

Bachelor's or Master's degree in Computer Science, Engineering, or related field
Minimum of 5 years of experience in Databricks or similar
Minimum of 5 years of experience in MicroStrategy
1+ years of relevant leadership experience
Strong skills in data visualization and data modeling
Good understanding of ETL concepts
Proficient in Apache Spark, PySpark, Python, and SQL
Familiarity with AWS Glue, Amazon S3, GitHub, and CI/CD
Ability to work independently and as a team player
Strong communication and organizational skills
Strong problem-solving skills and attention to detail
Ability to multitask in a fast-paced environment
Willingness to learn and keep updated with emerging technologies

nice to have

Advanced Databricks skills like delta, cluster configuration, or Databricks APIs
Experience in new technologies like BigQuery, Airflow, Redshift, or Apache NiFi

senior big data engineer for a software company

Big Data

Java, SQL

40 hrs/week

12+ months

Armenia, Georgia,

and others

Armenia, Georgia, Kazakhstan, Uzbekistan

Learn more

Currently, we are looking for a Remote Senior Big Data Engineer with 3+ years of software engineering experience in Core Java, knowledge and experience with large-scale data tools and techniques to join our team.

Our customer is a software company. Its mission is to help organizations better manage their software supply chain, enabling customers to build applications faster, with better security, and with confidence. The company is a remote and talented product development group that works in small autonomous teams to create high-quality products. Thousands of organizations and millions of developers use their software. The customer is expanding the Data team, responsible for unlocking insight from vast amounts of software component data, powering a suite of products enabling their customers in making informed and automated decisions to manage their software supply chain. We are looking for smart people, who get things done in a team environment. We have a deeply strong team technically, though many places probably claim this. If you love working on and solving some of the most difficult software engineering challenges, you will love working here. The ideal candidate has the internal drive and initiative to make the product vision a reality. Flow should be the predominant state of mind.

responsibilities

Contribute to designing, developing and monitoring systems and solutions for collecting, storing, processing, and analyzing large data sets
Work in a team made up of other Data Engineers

requirements

3+ years of software engineering experience in Core Java
Database and data manipulation skills working with relational or non-relational models
Deep curiosity for how things work and desire to make them better
Proficient English (written and spoken) B2

nice to have

Degree in Computer Science, Engineering, or another quantitative field
Knowledge and experience with non-relational databases (i.e., HBase, MongoDB, Cassandra)
Knowledge and experience with large scale data tools and techniques (i.e., MapReduce, Hadoop, Hive, Spark)
Knowledge and experience with AWS Big Data services (i.e., EMR, Elasticsearch)
Experience in Data Management (Big Data)
Experience in NoSQL DB Development, NoSQL in Big Data, SQL
Experience working in a highly distributed environment, using modern collaboration tools to facilitate team communication
Experience in an Agile development environment
Experience working in a remote environment

senior big data engineer for a global entertainment company

Big Data

Java, Cloud.AWS

40 hrs/week

12+ months

Armenia, Georgia,

and others

Armenia, Georgia, Kazakhstan, Uzbekistan

Learn more

We're looking for a remote Senior Data Engineer with practical experience in support and development for scalable cloud-native Data Platforms with batch and streaming processing using Kafka and Spark to join our team.

We're looking for a remote Senior Data Engineer with practical experience in support and development for a scalable cloud-native Data Platforms with batch and streaming processing using Kafka and Spark to join our team. The customer provides Direct-to-Consumer services encompassing global entertainment and news TV properties, TV stations group, and radio businesses.

responsibilities

Work on a true Big Data project
Dive deep into AWS Big Data world - pave the way & position yourself as an expert in the exploding domain
Participate in the design – take part in an exploration effort, try a multitude of the AWS Big Data services, propose & defend architectural choices
Communicate with the customer - work directly with the Customer team, led with the experienced yet open-minded management

requirements

4+ years of experience with Java, Scala or Python
Data and API ninja – You are also very handy with big data framework such as Hadoop & Apache Spark, NoSQL systems such as Cassandra or DynamoDB
Understand reactive programming and dependency injection such as Spring to develop REST services
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases)
Good understanding and practical experience with AWS
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning
At least Intermediate level of both spoken and written English (B1 and higher)

senior big data software engineer for a multinational retail corporation

Big Data

40 hrs/week

12+ months

Armenia, Georgia,

and others

Armenia, Georgia, Kazakhstan, Uzbekistan

Learn more

We are currently looking for a Senior Big Data Software Engineer with deep development experience, proficient scripting skills and experience processing large amounts of structured and unstructured data to join our team.

We are currently looking for a remote Senior Big Data Software Engineer with deep development experience, proficient scripting skills and experience processing large amounts of structured and unstructured data to join our team. The customer is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores. This role will be responsible for utilizing industry best technologies and practices to enable analysis, intelligence, and processing of some of the largest datasets in near-real-time. As a Senior Software Engineer, this role will be counted on to have a deep understanding of technology internals in order to tune and troubleshoot individual jobs, as well as a high-level understanding of the landscape to drive value adding features to the platform.

responsibilities

Collaborate with Product Owners and Team Leads to identify, design, and implement new features to support the growing real time data needs
Assist and mentor Junior Engineers in troubleshooting and tuning of high volume, distributed applications, primarily on Spark
Identify and suggest or implement remediation of cases where we diverge from industry best practices
Evangelize and practice an extremely high standard of code quality, system reliability, and performance to ensure SLAs are met for uptime, data freshness, data correctness, and quality
Display sense of ownership over assigned work, requiring minimal direction and driving to completion in a sometimes fuzzy and uncharted environment
Focus on enabling developers and analysts through self-service and automated tooling, rather than manual requests and acting as a gatekeeper
Participate in on-call rotation, including continuously seeking to reduce noise, improve monitoring coverage, and improve quality-of-life for on-call engineers

requirements

Experience in running, using and troubleshooting industry standard data technologies such as Spark, HDFS, Cassandra, Kafka
Deep development experience, ideally in Scala but we are open to other experience if you’re willing to learn the languages we use
Proficient scripting skills i.e., Bash, Python, Ruby
Experience processing large amounts of structured and unstructured data in streaming and batch
Experience with cloud infrastructure. We use Azure, specifically, but any will do
Experience building and maintaining a centralized platform or services, to be consumed by other teams, is ideal, but not necessary
A passion for Operational Excellence and SRE/DevOps mindset, including an eye for monitoring, alerting, self-healing, and automation
Experience in an Agile environment, able to manage scope and iterate quickly to consistently deliver value to the customer
Proficient English (written and spoken) B2

senior data engineer for EPAM project

Data Software Engineering

Python.Core, SQL, Data Science

40 hrs/week

12+ months

Armenia, Georgia,

and others

Armenia, Georgia, Kazakhstan, Uzbekistan

Learn more

We’re looking for a remote Senior Data Engineer with 3+ years of SQL experience and Python proficiency to join our team.

In this position, you will become a part of a new team responsible for an internal accelerator for data migrations into Snowflake. This position requires strong analytical skills and proficiency in Snowflake and SQL in general. Software development in Python will be a big plus.

responsibilities

Elaboration of consistent hashing techniques between Snowflake and various RDBMS
Mapping of data types between Snowflake and various RDBMS
Generation of synthetic test data and basic validations
Collaboration with Python software engineer(s)
(Optional) Software design and development in Python

requirements

3+ years of SQL experience
Strong analytical and problem-solving skills
Self-sufficiency and ability to work with minimal supervision
Hands-on experience with Snowflake
Hands-on experience with at least one of major RDBMS like MS SQL, PostgreSQL, Oracle
Understanding of big data concepts: data partitioning, data quality
Proficient English (written and spoken) B2

nice to have

Software development experience in Python is a big plus
Understanding of hashing techniques (MD5, SHA, etc.) is a big plus
Hands-on experience with Spark, PySpark, SparkSQL, Hive SQL is a plus
Hands-on experience with other cloud warehouses like AWS Redshift, Google BigQuery, Azure Synapse Is a plus

senior big data developer for healthcare company

Big Data

Amazon Web Services, Apache Airflow, Apache Spark

40 hrs/week

12+ months

Armenia, Kazakhstan,

and others

Armenia, Georgia, Kazakhstan, Uzbekistan

Learn more

Currently, we are looking for a remote Senior Big Data Developer to join our team.

responsibilities

Enable production of valuable business insights
Understand requirements, clarify with BA and data analysts when necessary
Automating data ingestion processes
Enhance data sets by creating automated match rules
Automating data pre-processing, cleansing and verifying the integrity
Developing ETL transformations for data from various data sources (IQUVIA, SCOUT, SAP, unstructured files)
Working in a feature team of developers and test engineers
Deliver results every sprint in accordance with sprint and release plans
Report about activities via agreed project tools
Timely report about risks/issues/dependencies
Apply efforts to resolve and move the work forward

requirements

3+ years of relevant experience
Ability to work independently as well as in a team of professionals, that may include not only EPAM colleagues, but also client’s engineers and managers as well as third-party vendors
Strong skills in Big Data - AWS, Databricks, Spark, Python, Airflow, + (Scala or Java)
Proficient working in AWS cloud environment
English level B2 and higher

senior data analyst for a business services company

Data Science

Big Data, SQL

40 hrs/week

12+ months

Armenia, Georgia,

and others

Armenia, Georgia, Kazakhstan, Uzbekistan

Learn more

Currently, we're looking for a remote Senior Data Analyst with 3+ years of experience in Data Science, and Machine Learning solutions knowledge to join our team.

The customer is a provider of high-quality business services in such areas as IT, Procurement, HR, Product Lifecycle Services, Financial Reporting and Analytics, and Real Estate and Facility Services. The candidate is expected to be able to review and re-engineer existing client solution and to present client intermediary results on a regular basis.

responsibilities

Understand business value and business need
Understand solution business requirements
Evaluate the relevancy of existing ML approach vs business needs; give recommendations
Assess and re-engineer existing ML Solution - both logic and code aspects
Work with Data analysis and Data quality aspects with project team and client’s technical stakeholders. Evaluate data quality vs calculation algorithms and outcomes expected
Closely cooperate with the client team. Act as a client team member
Intensively contribute into project technical documentation

requirements

3+ years of experience in Data Science
Experience of work with unsupervised machine learning
Experience with industrial-scale ML solutions
Experience of integration ML solution into Big Data based Cloud Platforms and optimizing its run in the environments
Experience in Data Analysis
Extensive experience of communication with client stakeholders both technical and business side (delivery is client driven) and presentation of results
Experience with BI visualization tools
Advanced SQL knowledge
Hands-on experience with Excel based Data Analytics
English Level: B2+

nice to have

Experience with Hadoop ecosystem (Hive, Impala, Hue, Spark, etc.)

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Freelance Big Data Engineer Jobs at EPAM Anywhere (remote only)

Bill Gates once said that content is a king. Today, we can definitely say that data is a king. Data science combines several key disciplines that include programming, mathematics, statistical analysis, and machine learning. Specialists in this field include Big Data Software Engineers, Data Analysts, and Data Scientists.

The latest report by Dice reveals that the number of Big Data Engineer jobs is growing by 50% each year. In global organizations, Big Data Software Engineer plays a critical role. They create and maintain pipelines to process, transform, and keep data in place. As a result, other employees (like analysts and scientists) can work with this data to build reports, forecast future changes, create machine learning models, etc.

The growing demand for talents in the Big Data field pushes companies to extend their search and create Big Data Engineer freelance jobs. EPAM Anywhere platform serves this exact purpose: to connect the global enterprise companies with freelance Big Data Engineers on the remote. Along with that, we provide you with all the benefits available to EPAM's in-house specialists and a personal skills advisor who helps you make a roadmap to building a successful career. We wrote this post to uncover must-have skills and key responsibilities of Big Data Engineers at EPAM Anywhere, so read on.

Essential skills for a freelance Big Data Engineer jobs

In general, key skills and qualifications depend on particular freelance Big Data Engineer jobs. For example, retail and eCommerce businesses tend to look for engineers with expertise in machine learning (ML) and artificial intelligence (AI). Such specialists are required to build complex recommendation systems and manage product stock.

The common skillset of a freelance Big Data Engineer jobs includes

Programming skills with at least one of the programming languages used in the Data Science field: Python and R.
Knowledge of software engineering best practices like code review and release strategy.
Big Data basics: data format, compression, codecs, portability, and serialization.
Key technologies of the Big Data ecosystem: Spark, Kafka, and HDFS.
Cloud services: Amazon Web Services (AWS), Google Cloud Platform, and Azure.
Experience with SQL and NoSQL databases (MongoDB, PostgreSQL).
Experience with Apache Hadoop stack.

Big Data Engineer jobs at EPAM Anywhere: main responsibilities

Big Data Engineers set up an infrastructure for corporate Big Data, internal databases, and third-party integrations that collect and store the data. To help organizations achieve their goals, typical duties for Big Data Engineer jobs at EPAM Anywhere include:

Working with various data sources and data analysis.
Organization of automated data pipelines in centralized data warehouses or data lakes.
Visualization of data for further usage by analysts and researchers.
Creation of CI/CD pipelines for regular and continuous data preparation.

On the EPAM Anywhere platform, freelance applicants can find a variety of remote Big Data Engineer jobs that match your skillset and domain. We offer only vetted, long-term projects that help you unleash your tech and soft skills. Learn more about available remote Senior Big Data Engineer vacancies on EPAM Anywhere.

Freelance Big Data Engineer jobs (remote only)

Freelance Big Data Engineer Jobs at EPAM Anywhere (remote only)

Essential skills for a freelance Big Data Engineer jobs

The common skillset of a freelance Big Data Engineer jobs includes

Big Data Engineer jobs at EPAM Anywhere: main responsibilities

Related skills