Data Engineer| XEqualTo Analytics

About the Role

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
• Strong 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