Chryselys - Associate - Data Engineering
1 day ago
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 :
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