Databricks Developer Jobs

EPAM Anywhere is looking for Databricks Developers.

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middle databricks developer

Data Software Engineering

AWS Glue, Amazon S3, Apache Spark

40 hrs/week

12+ months

Georgia

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We are looking for a remote Middle Databricks Developer to join our team.

You will be responsible for designing, developing, monitoring, and operating data pipelines. You will work closely with other data teams to integrate high-quality datasets for analytical use cases and ensure that they follow the customer's standards. You will also be responsible for testing, preparing, and executing data pipelines, and maintaining existing pipelines including alerting and bug fixing.

responsibilities

Design, develop, monitor, and operate data pipelines
Integrate high-quality datasets for analytical use-cases
Enable other data teams to follow the customer's standards
Testing (preparation and execution)
Maintenance of existing data pipelines incl. alerting, bug fixing, etc.

requirements

2+ years of hands-on experience in Databricks or similar ETL Tools
Experience with Apache Spark, PySpark, and Python
Experience with AWS Glue and Amazon S3
Experience with GitHub + CI/CD
Excellent problem-solving and analytical skills, strong attention to detail, and the ability to work effectively in a team environment
Experience in managing large data sets and a track record of delivering quality work on time
B2+ English level

nice to have

Advanced Databricks skills like delta, cluster configuration, or mlflow
Experience with integrating sources like Websites, Exasol, REST APIs, SAP, BigQuery, GSheets, and more
Data Quality experience
Familiarity with Apache NiFi
Knowledge of MicroStrategy
Knowledge of Java

senior databricks developer

Data Software Engineering

Apache Spark, Databricks, CI/CD

40 hrs/week

12+ months

Greece

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We are looking for a remote Senior Databricks Developer to make the team even stronger.

responsibilities

Design, develop, monitor and operate data pipelines for customer's Business Metrics initiative
Integrate high-quality datasets for analytical use-cases
Enable other data teams to follow the customer's standards
Testing (preparation and execution)
Maintenance of existing data pipelines incl. alerting, bug fixing, etc

requirements

3+ years hands-on experience in Databricks or similar ETL Tools
Apache Spark, PySpark and Python
AWS Glue + Amazon S3
GitHub + CI/CD
Upper-intermediate or higher English level, both spoken and written (B2+)

nice to have

Advanced Databricks skills like delta, cluster configuration or mlflow
Experience with integrating sources like Websites, Exasol, REST APIs, SAP, BigQuery, GSheets and more
Data Quality
Apache NiFi
MicroStrategy
Java

senior databricks developer

Data Software Engineering

AWS Glue, Amazon S3, Apache Spark

40 hrs/week

12+ months

Georgia

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We are looking for a remote Senior Databricks Developer to join our team.

We are seeking a Senior Databricks Developer to join our remote team. You will be responsible for designing and developing data pipelines, integrating high-quality datasets for analytical use cases, and ensuring that other data teams follow customer standards. You will also be responsible for testing, preparing, and executing data pipelines, and maintaining existing pipelines, including alerting and bug fixing. You should have at least 3+ years of relevant production experience with a strong background in Databricks.

responsibilities

Design, develop, monitor, and operate data pipelines
Integrate high-quality datasets for analytical use-cases
Enable other data teams to follow the customer's standards
Testing (preparation and execution)
Maintenance of existing data pipelines including alerting, bug fixing, etc.

requirements

3+ years of hands-on experience in Databricks or similar ETL Tools
Proficiency in Apache Spark, PySpark, and Python
Proficiency in AWS Glue + Amazon S3
Experience with GitHub + CI/CD
Excellent problem-solving and analytical skills, strong attention to detail, and the ability to work effectively in a team environment
Experience in managing large data sets and a track record of delivering quality work on time
B2+ English level

nice to have

Advanced Databricks skills like delta, cluster configuration, or mlflow
Experience with integrating sources like Websites, Exasol, REST APIs, SAP, BigQuery, GSheets, and more
Data Quality experience
Experience working with cloud technologies and Big Data platforms
Experience with Apache NiFi
Knowledge of MicroStrategy
Knowledge of Java

senior databricks developer

Data Software Engineering

Databricks, MicroStrategy Analytics, Apache Spark

40 hrs/week

12+ months

Greece

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We are looking for a remote Senior Databricks Developer to make the team even stronger.

responsibilities

Design, develop, monitor and operate data pipelines for Corporate Governance and P&O initiative
Integrate datasets for analytical use-cases
Testing (preparation and execution)
Maintenance of existing data pipelines incl. alerting, bug fixing, etc

requirements

3+ years hands-on experience in Databricks or similar ETL Tools
Apache Spark, PySpark and Python (professional level)
AWS Glue + Amazon S3
GitHub + CI/CD
MicroStrategy or similar analytical tool
Team player (easy & respectful communications, shares responsibilities for the team overall success)
Communication skills
Organisational skills
Mastery in Engineering
Ownership
Upper-intermediate or higher English level, both spoken and written (B2+) (is able to communicate fluently with english speaking stakeholders, able to share ideas and provide reasoning)

nice to have

Advanced Databricks skills like delta, cluster configuration or mlflow
Experience with integrating sources like Websites, Exasol, REST APIs, SAP, BigQuery, GSheets, Salesforce, Jedox and more
Data Quality
Apache NiFi
Java

senior java developer

Java

Amazon Web Services, Databricks, Docker

40 hrs/week

12+ months

Georgia

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Currently, we are looking for a remote Senior Java Developer to join our global team

Currently, we are looking for a remote Senior Java Developer to join our global team. The customer is an American online automotive resource providing with information about prices for new and used vehicles, dealer and inventory listings, a database of national and regional incentives and rebates, vehicle test drive reviews, and tips and advice on all aspects of car purchases and ownership.

responsibilities

In close cooperation with customer’s team design, build and scale business-critical systems supporting advertising team’s goals
Build rich consumer-facing interfaces
Automate operations of multiple technology stacks using AWS infrastructure and services

requirements

3+ years of experience in Java Development
Expert knowledge of Java
Knowledge and experience of using Databricks and Docker
AWS experience (especially with AWS Gateway, S3, Lambdas)
Experience using automation tools and continuous delivery platforms like Spinnaker, CodeBuild

senior big data developer for healthcare company

Big Data

Amazon Web Services, Apache Airflow, Apache Spark

40 hrs/week

12+ months

Georgia

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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

data platform support engineer

Data Software Engineering

Apache Spark, Databricks, SQL

40 hrs/week

12+ months

Greece

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We are looking for a remote Data Platform Support Engineer to make the team even stronger.

As a Data Engineer in Data Platform, you will be supporting 1000+ stakeholders focusing on data transformation and pipeline orchestration technologies. By constantly challenging the status quo, you will ensure stakeholder teams to deliver high-performance data processing solutions that are efficient and remain reliable at scale.

responsibilities

Automation of support activities (e.g cluster creations, configuration changes)
Improving documentation to address user inquiries
Prioritizing customer queries and escalating serious technical issues to 2nd level
Operational Excellence:
Stakeholder support through chat and support tickets
Troubleshooting user issues related to Databricks (Spark) / Airflow and suggesting optimizations for long running or resource intensive jobs
Guiding users on best practices of Databricks and Airflow cluster management
Consult and help our diverse teams to develop, implement and maintain sustainable, high-performance, growth-ready data-processing and data integration systems
Having documentation focus to improve user journey

requirements

3+ years of relevant experience
Basic understanding of distributed data processing frameworks like Apache Spark
Understanding of relational database management systems
Hands-on experience with Databricks
Hands-on experience with Apache Airflow/Amazon Managed Workflows for Apache Airflow
Hands-on experience with Python combined with SQL knowledge
Hands-on experience in cloud technologies (AWS services like S3, EC2, IAM, Cloudformation)
Hands-on experience in container/orchestration tools (Kubernetes, Docker, Podman)
Engineering craftsmanship with an experience in software development processes focusing on testing, continuous integration/continuous delivery (CI/CD), monitoring and writing documentation
Upper-intermediate or higher English level, both spoken and written (B2+)

nice to have

Knowledge on AWS Step Functions, Cloudwatch, Lambda

senior data engineer

Data Software Engineering

Apache Spark, Databricks, SQL

40 hrs/week

12+ months

Greece

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We are looking for a remote Senior Data Engineer to make the team even stronger.

responsibilities

Develop, monitor, and operate the most used and most critical curated data pipeline - Sales Order Data (incl. Post-order information, e.g. shipment, return, payment). This pipeline is processing hundreds of millions of records to provide high-quality datasets for analytical and machine learning use-cases
Consulting with analysts, data scientists, and product managers to build and continuously improve "Single Source of Truth" KPI for business steering such as the central Profit Contribution measurement (PC II)
Leverage and improve a cloud-based tech stack that includes AWS, Databricks, Kubernetes, Spark, Airflow, Python, and Scala

requirements

3+ years of relevant experience
Expertise in Apache Spark along with Spark streaming & Spark SQL
Good hands on experience with Databricks and delta-lake
Fluency in Scala programming language
Good understanding & hands-on experience with CI/CD
Rich working experience with Github
Fluency working with AWS landscape
Ability to build Apache Airflow pipelines
Upper-intermediate or higher English level, both spoken and written (B2+)

nice to have

Presto
Superset
Starburst
Exasol

senior devops engineer for manufacturing company

DevOps.CI/CD

Azure DevOps, Azure Databricks, Microsoft Azure

40 hrs/week

12+ months

Georgia, Poland

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Currently, we are looking for a Remote Senior DevOps Engineer to join our team.

The customer is scaling up a series of Data science use-cases targeting strategic business-facing stakeholder needs. This is an extension to bring support to a growing team of EPAM and in-house data scientists developing and shipping ML systems within an Azure ecosystem.

responsibilities

Perform full production process audit and gap analysis versus modern best practices on an Azure cloud environment
Advise on and support best practices for the development of data products from data integrity testing, code quality, CI/CD, through deployment and monitoring
Advocate for and educate stakeholders on best practices for code testing and CI/CD best practices
MLOPs liaison ensuring model model monitoring aligns with overall development and production processes
Design, develop, document, and deploy a strategy migrating from a notebook-based production ecosystem to a tightly orchestrated and containerized solution

requirements

3+ years of Azure Databricks experience
3+ years of Azure DevOps experience
Microsoft Azure experience
Python experience

nice to have

Dremio knowledge
Kubernetes knowledge
ML & MLOps Architecture knowledge
MLOps experience
MLflow experience
Test strategy experience

senior data engineer

Data Software Engineering

Databricks, MicroStrategy Analytics, Apache Spark

40 hrs/week

12+ months

Greece

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We are looking for a remote Data Engineer to make the team even stronger.

responsibilities

Gather business requirements, analyze them, join the dots using data and drive the implementation
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's standards
Testing (preparation and execution)
Operations of data pipelines incl. alerting, bug fixing, etc

requirements

3+ years hands-on experience in Databricks or similar
3+ years hands-on experience in MicroStrategy
Strong skills in data visualisation and data modelling
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 overall success)
Communication skills
Organisational skills
Mastery in Engineering
Upper-intermediate or higher English level, both spoken and written (B2+) (is able to communicate fluently with English speaking stakeholders, able to share ideas and provide reasoning)

nice to have

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

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