Job Summary

We are looking for a Senior Data Engineer 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.

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

- Bachelor s or master s 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, positive 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Associate/Consultant - Data Engineering (Hyderabad)
🏢 CHRYSELYS
📍 Hyderabad