Data Engineer I
Circles (company site, opens in a new tab)1+ yrsOn-siteDirect career pageEst. 8–16 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable cloud-native data platforms and pipelines for analytics, reporting, and business operations across multiple markets.
- Take end-to-end ownership of data engineering projects including design, testing, deployment, performance tuning, and production support.
- Collaborate cross-functionally with product, analytics, engineering, and external partners to deliver reliable, high-quality data solutions aligned with strategic data vision and commercial goals.
Minimum Requirements
- 1+ years of experience in Data Engineering or Big Data roles.
- Strong experience with Python, Spark/PySpark, SQL for building scalable ETL/ELT pipelines.
- Hands-on experience with at least one modern data lakehouse technology such as Apache Iceberg, Hive, Trino, BigQuery, Redshift, ClickHouse, or Snowflake.
- Experience with cloud object storage solutions like Amazon S3 or compatible platforms.
Ideal Candidate Profile
- Familiarity with Kubernetes and GitLab CI/CD pipelines to deploy and manage data applications is a plus.
- Experience with real-time data pipelines and distributed data processing frameworks (e.g., Apache Kafka) is advantageous.
- Exposure to telecommunications domain or supporting multi-market data platforms improves fit but not mandatory.