Key Responsibilities :

- Partner with product, business, and engineering teams to translate business requirements into scalable data solutions.
- Design, build, and maintain reliable ETL/ELT pipelines from multiple data sources.
- Develop high-quality, well-modeled datasets for reporting, dashboards, and advanced analytics.
- Ensure data accuracy, completeness, and consistency using automated validation and monitoring frameworks.
- Implement data governance, privacy, and security best practices for financial and user data.
- Build reusable data frameworks, libraries, and tooling to enable self-service analytics.
- Optimize performance of batch and streaming data pipelines.
- Troubleshoot and resolve data quality, latency, and pipeline failures.

Must Have :

- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related field (or equivalent experience).
- 5+ years of experience building and managing data systems at scale.




- Strong programming skills in Python (or Scala/Java) and advanced SQL.
- Experience with contemporary data warehouses such as BigQuery, Snowflake, or Redshift.
- Experience with orchestration tools such as Airflow.
- Hands-on experience with Spark, Databricks, Kafka, or similar processing frameworks.
- Strong understanding of data modeling, schema design, and performance optimization.
- Experience working on cloud platforms such as AWS, GCP, or Azure.

Nice to Have :

- Experience in fintech, payments, lending, or financial analytics.
- Familiarity with BI and visualization tools like Looker, Tableau, or Superset.
- Experience with event tracking systems such as Segment, RudderStack, or Snowplow.
- Knowledge of experimentation, growth analytics, and A/B testing frameworks.

📌 Paymeindia - Senior Data Engineer - Python/SQL/ETL (India)
🏢 PayMe India
📍 India