Roles & Responsibilities:

Majorly responsible for designing, building and maintaining ETL/ELT pipelines.
Integration of data from multiple sources or vendors to provide holistic insights from data.
Build and manage Data warehouse solutions, designing data models, creating ETL processes, implementing data quality mechanisms.
Performs EDA (exploratory data analysis) required to troubleshoot data related issues and assist in resolution.
Client interaction experience required.
Mentoring juniors and providing required guidance.

Required Technical Skills:

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

Bachelor or Master Engineering/MCA or equivalent degree.
5-7 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 support to the team.
Excellent written and verbal communication skills.
Strong analytical and problem-solving skills.

📌 Senior Data Engineering (Hyderabad)
🏢 Proof-of-Skill
📍 Hyderabad