Your Role:
Develop and maintain data pipelines while achieving high reliability and efficiency
Help guide data infrastructure design and develop proof of concepts for recommended solutions
Liaison with engineering and product to help the Research team develop new data-products
Maintain documentation for the Data Warehouse and other data products
Design, develop, QA and maintain code related to data engineering
Provide thought-leadership and dependable execution on diverse projects
Guide other data engineers in your team to apply best practices and meet their deliverables.

Required skills:
Masters in Computer Science or equivalent work experience.
Solid knowledge of SQL and relational databases. Non relational database exposure is good to have.
Deep understanding and prior experience with Spark/pySpark




Understanding of data warehouse table design, star schemas, etc.
Previous experience architecting and building data pipelines from 1st party and 3rd party data sources
Robust problem-solving skills, adaptable, proactive, and willing to take ownership
Solid commitment to quality, architecture, and documentation
Experience using AWS cloud services (S3, Athena, EMR, Kinesis)
Experience with data pipeline technologies a plus (Airflow, Luigi)
Experience with Kafka streaming a plus
Experience with business intelligence tools a plus (Tableau, Qlik)
Experience with Databricks/DBT a plus.

📌 Senior Data Engineer 1 Secunderabad
🏢 ModMed Technologies India Private Lid
📍 Secunderabad