Roles & Responsibilities :

- We are looking for a Senior Data Engineering who will be majorly responsible for designing, building and maintaining ETL/ ELT pipelines.

- Integration of data from multiple sources or vendors to provide the holistic insights from data.

- You are expected to build and manage Data warehouse solutions, designing data models, creating ETL processes, implementing data quality mechanisms etc.

- Performs EDA (exploratory data analysis) required to troubleshoot data related issues and assist in the resolution of data issues.

- Should have experience in client interaction.

- Experience in mentoring juniors and providing required guidance.

Required Technical Skills :

- Extensive hands on experience in Python, Pyspark, SQL, Dataiku.

- Strong experience in Data Warehouse, ETL, Data Modelling, building ETL Pipelines, Snowflake database.

- Working knowledge in Databricks, Redshift, ADF etc.

- Hands-on experience in cloud services like Azure, AWS- S3, Glue, Lambda, CloudWatch, Athena.

- Sound knowledge in end-to-end Data management, Data ops, quality and data governance.

- Familiar with SFDC, Waterfall/ Agile methodology.

- Strong domain knowledge in Pharma domain/ life sciences commercial data operations.

Qualifications :

- Bachelors or masters Engineering/ MCA or equivalent degree.

- 5 to 7 years of relevant industry experience as Data Engineer.

- Experience working on Pharma syndicated data such as IQVIA, Veeva, Symphony; Claims, CRM, Sales etc.

- High motivation, good work ethic, maturity, self-organized and personal initiative.

- Ability to work collaboratively and providing the support to the team.

- Excellent written and verbal communication skills.

- Strong analytical and problem-solving skills.