The Role
Designs, builds, and maintains ETL/ELT pipelines, data warehouses, data models, and data quality processes. Integrates data from vendors and multiple sources, performs exploratory analysis to resolve data issues, and supports end-to-end data governance and operations. The role requires client interaction, mentoring junior engineers, and expertise in Python, PySpark, SQL, cloud platforms, Snowflake, Databricks, and pharmaceutical commercial data.
Summary Generated by Built In
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.
- 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.
- 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.
Skills Required
- Bachelor's or master's degree in Engineering, MCA, or an equivalent field
- 5-7 years of relevant industry experience as a Data Engineer
- Extensive hands-on experience with Python, PySpark, SQL, and Dataiku
- Strong experience with data warehouses, ETL, data modeling, ETL pipeline development, and Snowflake
- Working knowledge of Databricks, Redshift, and Azure Data Factory
- Hands-on experience with Azure and AWS services, including S3, Glue, Lambda, CloudWatch, and Athena
- Knowledge of end-to-end data management, DataOps, data quality, and data governance
- Familiarity with Salesforce and Waterfall/Agile methodologies
- Strong domain knowledge in pharmaceutical or life sciences commercial data operations
- Experience working with pharmaceutical syndicated data such as IQVIA, Veeva, or Symphony, plus claims, CRM, and sales data
- Client interaction experience
- Excellent written and verbal communication skills
- Strong analytical and problem-solving skills
- Ability to collaborate effectively and provide team support
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The Company
What We Do
Proof-of-Skill is a hiring and talent-matching platform that helps candidates find roles aligned with their skills, values, experience, and goals. It verifies identity, education, work history, and skills through proctored assignments and expert validation, then connects verified candidates with relevant employers and interviews. For businesses, it provides candidate skill-assessment software intended to reduce resume screening and improve recruiting efficiency for modern teams and hiring decisions.
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