Data Engineer
Job in
560001, Vasanthanagar, Karnataka, India
Listed on 2026-09-28
Listing for:
IQVIA
Full Time
position Listed on 2026-09-28
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
Project Role: Data Engineer
Work Experience:
5 to 12 Years
Work location:
Bengaluru
Work Mode: Hybrid
Must Have
Skills:
Snowflake, Python/SQL,ETL,Data modelling
Job Overview:
The Lead Developer establishes data architecture requirements by analyzing enterprise-wide information needs to design large-scale, high-performance data systems. This role provides technical leadership and oversight for the end-to-end design, development, and implementation of robust data solutions.
Job Responsibility:
System Architecture:
Designs end-to-end data architectures including software, cloud infrastructure, and data pipelines to support current and future enterprise requirements.
Technical Leadership:
Oversees a complete development team, providing daily supervision, mentoring on software engineering design, and guiding project execution.
Compliance & Standards:
Ensures all data systems comply with corporate IT architecture standards, data governance policies, and security frameworks.
Workflow Optimization:
Evaluates work flows, data organization, and project planning analytically to implement corrective actions and optimize system performance.
Project Delivery:
Provides regular status updates and reporting metrics to program leadership to guarantee on-time and on-budget delivery of multiple work streams.
Technical/
Required Skills:
Data Platforms & Cloud:
Deep expertise in Snowflake data warehousing and Azure cloud infrastructure and services.
Programming & Querying:
Advanced proficiency in Python development and expert-level SQL for complex data manipulation and analysis.
Data Engineering & Modeling:
Strong hands-on experience with dbt (Data Build Tool) for data transformation and a solid understanding of Big Data frameworks.
Architecture Mastery:
Fluency in general data architecture principles, including data modeling, ETL/ELT pipeline design, and system integration.
Data Operations:
Solid knowledge of CI/CD environments, automated deployments, monitoring, auditing, security, and performance tuning for end-to-end process execution.
Good to have
Experience:
Healthcare/Pharma experience
Educational
Qualification:
BTech/BCA/BSc/MTech/MCA/MSc
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