Job Title :
Detailed Job Descriptions
Data Engineering QA Analytics
Experience:
7–9 Years
Location :
Remote Work
Work Type :
Contractual
Job Descriptions :
Job Profile: Data Engineering QA Analytics
Work Mode: Work From Home (WFH)
Interview Mode: Remote
Employment Type: Contractual
Role Overview
We are seeking an experienced Data Warehouse Developer / Database Engineer with strong background in data engineering, data curation, analytics, and quality validation. The ideal candidate will have hands-on expertise in building and maintaining data pipelines, data modeling, ETL development, and data warehouse/data lake implementations. This role requires deep knowledge of Postgres, Redis, C#, Python, and modern data engineering practices.
Key Responsibilities
Design, build, and optimize scalable data pipelines for analytics and reporting
Develop, manage, and maintain data warehouse and data lake environments
Implement ETL processes, data validation, data profiling, and performance tuning
Ensure data governance, data quality standards, and compliance requirements
Perform complex SQL queries, stored procedures, indexing, and performance tuning
Provide SME support for data models, metadata, security, and access controls
Troubleshoot data discrepancies, system issues, and pipeline failures
Collaborate closely with Data Engineers, QA, and analytics teams to support business needs
Create and manage documentation for data flows, architecture, and workflows
Required Technical Expertise
Strong hands-on experience with:
Postgres
Redis
C#
Python
Proven experience in data warehouse/data lake development
Deep knowledge of ETL tooling, data curation, and data pipeline orchestration
Practical experience working with RDBMS & Data Warehouses including:
Oracle InForm, Oracle DMW, MS SQL Server, MS Access (or equivalent platforms)
Expertise in creating and optimizing schemas, queries, partitions, indexing, etc.
Preferred Skills
Pharmaceutical industry experience with GxP domain knowledge
Understanding of clinical data standards and data compliance
Experience with cloud data platforms (AWS/Azure/GCP) is an advantage
Familiarity with DevOps practices, CI/CD pipelines for data engineering
Soft Skills
Strong analytical and problem-solving capabilities
Ability to work independently in a remote setup
Strong communication and documentation skills
High attention to detail with a focus on data accuracy and quality
Education
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or relevant discipline