remote data engineer job description
- Collaborate with Data Science teams to construct datamarts and fulfill ad-hoc requests as necessary
- Develop and manage data pipelines, ETL processes, and REST APIs to facilitate efficient data processing and delivery
- Verify the scalability, efficiency, and reliability of our data solutions
- Provide on-call support to uphold the smooth operation of our data solutions
- Work alongside cross-functional teams to deliver top-notch data solutions in accordance with project objectives and timelines
- Regularly assess industry trends and optimal practices, refining and implementing cutting-edge data engineering strategies
- Offer guidance and mentorship to junior team members, nurturing a culture of continuous learning and growth within the team
- Engage directly with clients, comprehending their requirements, and deliver well-suited, efficient solutions
- Collaborate with stakeholders, showcasing outstanding communication and leadership skills
- A minimum of 3 years of hands-on experience in Data Software Engineering, contributing to large-scale data projects and intricate data infrastructures
- Demonstrated expertise in constructing and sustaining data pipelines, ETL processes, and REST APIs
- Proficiency in Amazon Web Services, specifically focusing on data-related services like Redshift, S3, and Glue
- Substantial familiarity with Apache Airflow and Apache Spark, utilizing them for data processing and pipeline automation
- Adeptness in Python and SQL for the purpose of data processing
- Experience with Databricks and PySpark for efficient pipeline automation
- Familiarity with CI/CD tools to ensure the streamlined delivery of data solutions
- Robust analytical skills, enabling effective troubleshooting and decision-making in intricate data environments
- Ability to convey technical concepts clearly to a non-technical audience
- Advanced English language proficiency (Upper-Intermediate level), enabling effective written and verbal collaboration in team meetings and discussions with stakeholders
- Experience with Redshift for data warehousing and management
explore our data engineer India remote jobs
Data Software Engineering
Amazon Web Services, Apache Airflow, Apache Spark
40 hrs/week
12+ months
India We are in search of a skilled Lead Data Software Engineer for a remote position, ready to contribute to our team's success and bolster our Data Science endeavors.
Data Software Engineering
Amazon Web Services, Apache Airflow, Apache Spark
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, Apache Airflow, Apache Spark
40 hrs/week
12+ months
India We are in search of an exceptionally talented Senior Data Software Engineer to join our remote team and aid our client's Data Science squads in constructing datamarts and fulfilling ad-hoc requests as required.
Data Software Engineering
Amazon Web Services, Apache Airflow, Apache Spark
40 hrs/week
12+ months
why apply for our remote data engineer 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.
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Access all the benefits you deserve — including health insurance, paid leave, stable income, and more depending on your location.
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Find your mentor among our Skill Advisors and grow your career towards clear and manageable goals.
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Choose the right project for you with the help of a personal project matching coordinator.
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Access the hundreds of free courses, training programs and certification support resources available at Anywhere.
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how to apply for the data engineer in India role
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.
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.
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.
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!