Data Engineer (Mid Level)
Skillz (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own and manage assigned ETL pipelines including their scheduling, cost optimization on Snowflake, and deployment automation replacing manual processes.
- Implement BI and accounting data lake solutions from analytics specifications through a defined five-step process including roll-up tables and transaction verification.
- Handle audit and SOX requests related to data engineering (Snowflake and Airflow user lists, attestation evidence, finance changes) and provide end-to-end pipeline support including on-call duties without reliance on US-based teams.
Minimum Requirements
- 3+ years of Data Engineering experience.
- BA/BS in Computer Science or related technical field, or equivalent practical experience.
- Strong proficiency in SQL and Python; hands-on experience with Snowflake data warehouse.
- Experience with ETL/ELT tools (Debezium, DMS, Streamsets, DBT) and job orchestration tools (Airflow, Jenkins).
Ideal Candidate Profile
- Experienced in managing BI accounting and compliance-related data pipelines including audit and SOX requirements.
- Capable of independently owning production data pipelines with after-hours on-call support responsibility, demonstrating operational reliability.
- Technical skill-set includes strong SQL/Python, data stream processing (Kafka, Spark, Flink), and familiarity with recognized industry data engineering best practices.