Roles & Responsibilities:
- We are looking for a Data Engineering who will be majorly responsible for building data pipelines using AWS by integrating several data sets to enable the team to perform univariate and multivariate analysis.
- You are expected to build and manage Data warehouse solutions, data models, creating ETL processes, integrating various data sets, implementing data quality checks.
- Responsible for performing EDA (exploratory data analysis), troubleshoot data related issues and assist in the resolution of data issues.
Required Technical Skills
- 1-3 years of relevant hands-on experience in AWS services like S3, Glue, Lambda, CloudWatch, Athena.
- Hands-on experience in Data Warehouse, ETL, cloud experience preferably in AWS/ Azure.
- Extensive experience in programming language like Oracle SQL and knowledge of Python/ Pyspark.
- Working knowledge in Data Management and Data Governance.
- Deployment expertise on cloud platforms like AWS/ Azure
- Knowledge of SFDC, Waterfall/ Agile methodology
- Working experience in Pharma domain is preferrable.
Qualifications
- Bachelor's or master's degree (Engineering, MCA, Applied Mathematics, Management Science, Data Science, Statistics).
- Experience in Pharma syndicated data such as IQVIA, Symphony, Claims, Payer, CRM etc.
- High motivation, good work ethic, maturity, self-organized and personal initiative.
- Ability to work collaboratively with team.
- Excellent written and verbal communication skills.
- Strong analytical and problem-solving skills.
