Chryselys - Associate - Data Engineering

Description :

Roles & Responsibilities :

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

- Support data enablement across applications and build Data Quality enhancements.

- Responsible for performing EDA (exploratory data analysis), troubleshoot data related issues, integrating various data sets etc.

Required Technical Skills :

- Extensive experience in Python, Pyspark, SQL.

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

- Must be proficient in Databricks, Dataiku, Alteryx.

- Good experience in creating and operationalizing ARDs.

- 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.

- Experience in developing agents to automate the data processes and improve quality and governance

- Exposure to Data Lineage and Metadata to build AI ready foundational data

- Know-how of Agentic AI and other automation technologies will be a plus.

- Knowledge of SFDC, Waterfall/ Agile methodology.

Qualifications :

- 1-3 years of relevant industry experience as Data Engineer.

- Experience working in Pharma domain working on various data sets such as IQVIA, Veeva, Symphony; Claims, CRM, Sales etc.

- High motivation, good work ethic, working independently, 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.

Location :