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 current 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.
- Strong 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
- Strong problem-solving skills, adaptable, proactive, and willing to take ownership
- Strong 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.

Skills: Aws Cloud, Pyspark, Relational Databases, Data Warehousing, Sql, Bigdata

Experience: 3.00-7.00 Years

📌 Senior Data Engineer 1 (Hyderabad)
🏢 ModMed Technologies India Private Lid
📍 Hyderabad