remote (work from home) big data developer jobs in India

EPAM Anywhere is hiring remote big data developer professionals

apply for a big data developer job in India

Apply for a remote full-time big data developer job at EPAM Anywhere from India and experience the benefits of working alongside our 3,500+ top global tech professionals.

Our remote jobs offer a comprehensive benefits package, including health insurance, learning opportunities, and relocation options. In addition, you'll be able to take advantage of the training and mentoring programs available to help you achieve your career goals; bring exceptional value to international projects; get access to the latest technology in our competency centers; and receive the recognition you deserve for your contributions.

At EPAM Anywhere, you can build a structured career path with the guidance of experienced skill advisors. Grow your career on your own terms while enjoying the flexibility of full-time remote work.

We have no big data developer jobs in India now

Unfortunately, we have no big data developer jobs in India now. Explore other remote jobs

senior data software engineer

Data Software Engineering

Big Data, Python, Amazon Web Services

40 hrs/week

12+ months

Poland

We are looking for a Senior Data Software Engineer to join our team, working with one of the largest pharmaceutical companies in the world.

We are looking for a Senior Data Software Engineer to join our remote team, working with one of the largest pharmaceutical companies in the world. Consistently ranked in the global top five, this company is committed to improving human health through innovation and research. As a Senior Data Software Engineer, you will be responsible for implementing data pipelines using Big Data technologies, ensuring that code is delivered on time and to a high standard of quality.

responsibilities

Implement data pipelines using Big Data technologies, ensuring that code is delivered on time and to a high standard of quality
Design and implement scalable and efficient data processing solutions
Contribute to the development and maintenance of data engineering best practices and standards
Collaborate with other engineers and stakeholders as required, contributing to the enhancement of user experiences and the improvement of data-driven decision-making processes
Review and ensure the quality control of data engineering deliverables to meet the highest standards
Provide assistance and support to other engineers during project discovery and ideation phases, contributing to innovative data solutions

requirements

Relevant experience is 3+ years in Data Software Engineering, with a focus on Big Data
Strong understanding of Big Data technologies, including Hadoop, Spark, and Hive
Proficiency in Python programming language, enabling you to write high-quality and efficient code
Experience working with Amazon Web Services and Databricks, allowing you to work with cloud-based Big Data solutions
Strong focus on teamwork and exceptional interpersonal skills, allowing you to collaborate effectively with cross-functional teams
Excellent communication skills in English, with a B2 level or higher, enabling you to effectively convey feedback and insights to cross-functional teams

nice to have

Experience in Machine Learning or Data Science, showcasing your broader perspective on data and its applications
Knowledge of SQL and NoSQL databases, enabling you to work with a variety of data storage solutions

senior data quality engineer (databricks, aws)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

Poland

We are looking for a remote Senior Data Quality Engineer with experience in DSE Python and AWS Databricks.

The successful candidate need have someone with strong analytical skills, excellent communication skills.

responsibilities

Ensure data quality and integrity across all platforms and systems
Collaborate with cross-functional teams to design and implement data management
Develop and execute test scenarios to validate data management systems
Provide technical guidance and mentorship to junior team members
Work directly with customers to validate data requirements and manage data quality issues

requirements

3+ years of experience in Data Software Engineering
Strong working knowledge of DSE Python, AWS Databricks and Apache Spark
Familiarity with testing methods (TDD, BDT, DDT)
Experience with data ingestion pipelines, data warehousing and data lakes
Understanding of CI/CD principles and best practices in data processing
Upper-intermediate English language skills (B2+)

nice to have

Familiarity with Amazon QuickSight, Microsoft PowerBI,
Experience with Big data technologies such as Apache Hadoop and Apache Hive

senior java developer

Java

Scala, Spark Java, Apache Kafka

40 hrs/week

12+ months

Colombia

We are in search of a responsible Senior Java Developer to join our remote team.

The successful candidate will be a focused individual with a strong sense of ownership. Our client is a leading global provider of hotel accommodation, offering booking services through a vast network of localized websites and telephone call centers. As part of our team, you will contribute to the technology that assists millions of travelers in finding the perfect hotel for their next memorable trip.

responsibilities

Support the data needs of the client's product and business teams globally
Develop scalable, reliable applications of high quality using industry-standard methodologies
Maintain strong relationships with internal partners across engineering, product, and business divisions
Deliver optimized, high-performance code for a distributed SOA environment
Be an integral part of an agile team that is continuously learning and improving
Utilize real-time data to understand performance and ensure system scalability
Containerize apps and services for deployment in the cloud
Develop swift, scalable, and reliable software that provides real-time feedback loops for all of the client's properties
Simplify core property status workflow to enhance user experience
Scale private and public APIs to improve UI experiences for internal and external partners
Take ownership of backend development, building applications from concept to completion
Build and maintain high-quality software using world-class tools like Git, Splunk, Datadog, New Relic, etc.
Participate in resolving production issues and lead efforts toward solutions
Seek opportunities to showcase your work on our tech blog and at internal & external conferences

requirements

Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field, or equivalent professional experience
Minimum 3 years of experience in developing data and software solutions
Proficiency in using Spark and other Big Data technologies
Expertise in Java or Scala programming languages
Experience in constructing data pipelines in the cloud using tools like S3, Hadoop, Hive and handling Petabytes of data
Proficiency in streaming technology such as Kafka
Proactive in seeking solutions for data engineering problems
Capability to drive individual tasks to completion and production deployment
Ability to work closely with team members to ensure data solutions are well built and high quality
Experience with classic and NoSQL databases systems such as Elasticsearch and Cassandra
Experience with all aspects of data systems including database design, ETL, aggregation strategy, performance optimization
Experience working with various tools like Airflow, Splunk, Datadog, Docker, Jenkins
Fluency in English communication

senior data engineer with python (databricks, aws)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

Poland

We are looking for an experienced remote Senior Data Engineer with Python, Databricks and AWS skills to join our team.

The right candidate enjoys working collaboratively to solve complex data engineering challenges that support our business needs.

responsibilities

Design, implement and maintain large-scale data pipelines using Python, Databricks
Work with cross-functional teams to integrate solutions that meet our data processing and analysis needs
Ensure performance, reliability, security and maintainability of data pipelines
Develop monitoring and alerting mechanisms to proactively identify and resolve issues
Continuously look for opportunities to improve data engineering processes and practices

requirements

Minimum of 3+ years with expertise in designing and maintaining large-scale data pipelines
Strong proficiency in Python and Databricks, (AWS) in production environments
Excellent understanding of Big Data technologies, primarily Spark
Strong understanding of data architecture and modelling concepts
Highly knowledgeable about data warehousing principles and practices
Upper-Intermediate level of English (B2+)

nice to have

Experience with Apache Hive

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why apply for our remote big data developer job in India

Remote forever

Build your work around your lifestyle with jobs that are remote by design.

Competitive compensation

Receive a salary on par with global market rates, with pay reviews as you continuously grow.

Long-term projects

Plan your life and career for years ahead with full-time, long-term projects.

Social protection

Access all the benefits you deserve — including health insurance, paid leave, stable income, and more depending on your location.

Guided career growth

Find your mentor among our Skill Advisors and grow your career towards clear and manageable goals.

Individual project matching

Choose the right project for you with the help of a personal project matching coordinator.

Free learning

Access the hundreds of free courses, training programs and certification support resources available at Anywhere.

Anywhere Club

Join our learning and professional networking hub right after successfully passing the Technical Interview.

our webinars

how to apply for the big data developer in India role

choose a job→

Browse open positions at Anywhere and find the one that fits your expertise and career goals. You can also share your CV, and our recruitment team will suggest the most suitable job for you.

apply→

Send us your application, and the Anywhere recruitment team will promptly review it and get back to you. When signed in, you can monitor your application progress in your profile.

interview→

With your application successfully reviewed, it’s now time to shine during the interviews. You’ll start with the general one with the recruiter. Next, you’ll showcase your skills at the technical interview, and then discuss final details at the offer interview.

get started→

After you accept the offer, we will move on with the onboarding process and the paperwork. Then you’ll be matched with a project that fits your professional goals and aspirations best. Apply now to speed up your exciting new start at Anywhere!

apply now

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faq

who can apply?

in which locations are you looking for candidates?

how quickly will you review my application?

how can I speed up the process?

why was my application rejected?

why was I rejected without even a general talk?

Our process doesn’t involve a General Interview with each applicant. To make the best use of our time, and yours, each profile is first reviewed and evaluated based on the position’s requirements. It may be that your CV didn’t pass our prescreening, and you can find tips on creating an ideal CV for EPAM Anywhere here (https://anywhere.epam.com/en/blog/how-to-write-an-effective-cv-to-get-hired-instantly). It is also possible that the position you applied for was filled/canceled.

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remote (work from home) big data developer jobs in India

apply for a big data developer job in India

other jobs in India

We have no big data developer jobs in India now

why apply for our remote big data developer job in India

Remote forever

Competitive compensation

Long-term projects

Social protection

Guided career growth

Individual project matching

Free learning

Anywhere Club

our webinars

how to apply for the big data developer in India role

our trainings

faq

latest big data developer insights