Senior Data Engineer (Remote, India)
Job Description
Nearform is seeking a Senior Data Engineer to join their team in a fully remote position based in India. The role focuses on designing and implementing enterprise-scale data solutions using modern technologies like Python, GCP, and BigQuery. The ideal candidate will have strong experience in data engineering, ETL/ELT processes, and cloud platforms. The position offers excellent benefits including flexible work arrangements, wellness support, and annual retreats. This is an opportunity to work on cutting-edge projects while maintaining work-life balance in a collaborative environment. The role combines technical expertise with client interaction, making it perfect for someone who enjoys both complex technical challenges and cross-functional collaboration. The company provides comprehensive support for professional growth and emphasizes maintaining a healthy work-life balance.
Responsibilities For Senior Data Engineer (Remote, India)
- Design, develop, and maintain data pipelines and solutions using Python, GCP, PySpark, SQL, and BigQuery
- Support system design, development, and maintenance while upholding high personal technical quality standards
- Define and implement structured practices for source code management, building, and deployment
- Design and implement secure, efficient, and scalable data storage solutions
- Execute automated testing in alignment with best practices, troubleshoot issues, and optimize performance
- Maintain version control and build processes using appropriate tools
- Collaborate with clients, delivery architects, and team members to ensure timely project delivery
- Write clear documentation and contribute to internal tooling and open-source projects
- Stay up-to-date with emerging technologies and integrate them into solutions where applicable
Requirements For Senior Data Engineer (Remote, India)
- Proven experience delivering solutions at a Senior Developer level in an enterprise environment
- Strong background in server-side development using Python and SQL
- Hands-on experience with ELT/ETL pipelines, relational and document databases
- Production-level experience with Snowflake or Databricks
- Strong knowledge of modern web services, testing methodologies, and version control tools such as Git
- Familiarity with AWS serverless compute, Apigee, CloudRun, containerization, and cloud architecture (AWS/GCP/Azure)
- Understanding of security, performance considerations, deployment tools, and systems integration
- Excellent analytical, communication, and collaboration skills with a high degree of empathy
Benefits For Senior Data Engineer (Remote, India)
- Fully remote work with a strong commitment to work-life balance
- Flexible working arrangements to fit around personal commitments
- Access to the Wellness Hub for resources and confidential support services
- Annual company retreats and a collaborative, inclusive team culture
- Competitive remuneration package
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