XEqualTo Analytics is hiring experienced Data Engineers for multiple open positions on a engagement with a leading global pharmaceutical company. You will build and maintain scalable data pipelines that support analytics and business decision-making in a regulated, data-intensive environment.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Python and PySpark
- Write optimized, complex SQL queries for data extraction, transformation, and analysis
- Process and transform large datasets in distributed environments
- Ensure data quality, integrity, and reliability across pipelines
- Troubleshoot and tune pipeline performance
- Collaborate with analysts, data scientists, and client stakeholders to understand requirements
- Communicate progress, risks,
and solutions clearly to technical and non-technical audiences
- Document data flows, processes, and best practices
Required Skills
- 4+ years of hands-on experience as a Data Engineer
- Strong proficiency in Python
- Solid hands-on experience with PySpark
- Advanced SQL skills
- Excellent verbal and written communication skills
Good to Have
- Experience with cloud platforms (AWS / Azure / GCP)
- Familiarity with data warehousing and data modelling concepts
- Experience with workflow orchestration tools (e.g., Airflow)
- Exposure to the pharma/healthcare domain
Eligibility
- Must be based in Kolkata
- Immediate joiners preferred; notice period candidates should apply ASAP