Senior Data Engineer
2 weeks ago
Location: Remote
Position: Full-time
Department: Engineering
Key Responsibilities
- Manage and optimize data and compute environments to enable efficient use of data assets
- Design, build, test, and deploy scalable and reusable systems capable of handling large volumes of data
- Lead a small team of developers; conduct code reviews and mentor junior engineers
- Continuously learn and help teach emerging technologies to the team
- Collaborate with cross-functional teams to integrate data into broader applications
Required Skills
- Proven experience designing and managing data flows
- Expertise in designing systems and APIs for data integration
- 8+ years of hands-on experience with Linux, Bash, Python, and SQL
- 4+ years working with Spark and other components in the Hadoop ecosystem
- 4+ years of experience using AWS cloud services, particularly:EMRGlueAthenaRedshift
- 4+ years of experience managing a development team
- Deep passion for technology and enthusiasm for solving complex, real-world problems using cutting-edge tools
Additional Skills (Preferred)
- BS, MS, or PhD in Computer Science, Engineering, or equivalent practical experience
- Strong experience with Python, C++, or other widely-used languages
- Experience working with petabyte-scale data infrastructure
- Solid understanding of:Data organization: partitioning, clustering, file sizes, file formatsData cataloging: Hive/Hive Metastore, AWS Glue, or similar
- Background working with relational databases
- Proficiency with Hadoop, Hive, Spark, or similar tools
- Exposure to modern data stack technologies like dbt, airbyte
- Experience building scalable data pipelines (e.g., Airflow is a plus)
- Strong background with AWS and/or Google Cloud Platform (GCP)
- Demonstrated ability to independently lead projects from concept through launch and ongoing support
Job Type: Full-time
Pay: ₹3,000, ₹4,041,108.58 per year
Benefits:
- Work from home
Experience:
- Data Engineer: 8 years (Required)
Work Location: Remote
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