Technical Lead Data Engineer

IQVIA; Bengaluru; Hybrid; INR 4,000,000 - 6,500,000; Full time

Job summary

IQVIA in Bengaluru seeks a Technical Lead Data Engineer to design, develop and deliver data-driven solutions in a hybrid role combining leadership and hands-on work.

You will oversee end-to-end delivery, drive data modeling in Snowflake, Pipelines and ETL/ELT, with Python-led automation and AI/ML concepts guiding business analytics and decision making.

Qualifications

• 8+ years of data engineering and leadership experience.
• Strong Python coding and SQL on large-scale platforms.
• Snowflake data modeling and DW concepts with ETL/ELT tooling.
• Exposure to AI/ML concepts in business contexts.

Responsibilities

• Lead and deliver multiple data and AI projects within scope, time, and budget.
• Own end-to-end project lifecycle from initiation to closure.
• Serve as single point of contact and communicate with stakeholders.
• Drive Agile delivery and manage risks, dependencies, and issues.
• Provide hands-on technical leadership and people management.
• Guide architecture aligned with enterprise data strategy.
• Advance AI/ML adoption to support business goals.
• Maintain code quality, data governance, performance, and security.
• Identify opportunities to leverage AI/ML to improve processes.
• Lead, mentor, and manage data engineers and analysts.

Skills

Data engineering

Data pipelines

ETL/ELT frameworks

Data warehouse modeling

Python

Snowflake

SQL

Databricks

AI/ML concepts

Agile methodology

Education

BTech/BCA/BSc/MTech/MCA/MSc

Tools

PowerCenter

DataStage

AWS

Job description

Project Role: Technical Lead Data Engineer

Work Experience: 8-13 Years

Work location: Bengaluru

Work Mode: Hybrid

Must Have Skills: Data engineering, Data pipelines, ETL/ELT frameworks, and DWH with data modeling, Python

Job Overview:

We are seeking a highly skilled and motivated Tech Lead to lead the design, development, and delivery of data-driven solutions aligned with organizational goals. This hybrid role combines technical leadership and people management, requiring expertise in Database technologies, Datawarehouse with Data model, Python, and AI/ML concepts.

The role involves managing end-to-end project delivery and ensuring alignment with business strategy while fostering innovation in data and AI initiatives.

Job Responsibility:

• Lead and deliver multiple concurrent data and AI-driven projects within scope, schedule, and budget.
• Own the full project lifecycle: initiation, planning, execution, monitoring, and closure.
• Serve as the single point of contact for assigned projects, ensuring clear communication with stakeholders.
• Drive Agile methodologies to enhance delivery efficiency and adaptability.
• Manage and mitigate risks, dependencies, and issues, ensuring timely resolution.
• Provide hands-on technical leadership and people management
• Guide architecture decisions and ensure alignment with enterprise data strategy.
• Drive adoption of AI/ML solutions to support business goals (predictive analytics, automation, analytics use cases).
• Ensure best practices in code quality, data governance, performance tuning, and security.
• Identify opportunities to leverage AI/ML technologies to improve business processes and decision‑making.
• Lead, mentor, and manage a team of data engineers, developers, and analysts.
• Perform performance management, coaching, and career development of team members.
• Allocate resources effectively across projects in a matrix environment.
• Foster a culture of collaboration, innovation, and accountability.

Technical/Required Skills:

• 8+ years of Strong expertise in:
• Database technologies (Snowflake preferred); Database design, development, and optimization
• Python programming
• Data engineering, Data pipelines, ETL/ELT frameworks, and DWH with data modeling
• Python-based data engineering and automation solutions
• Experience in ETL development using PowerCenter, Data Stage, AWS preferred or any other ETL tool
• Strong capabilities in SQL development on any of the large-scale data platforms: Snowflake, Databricks, Redshift, SQL Server, etc.
• Understanding of SQL table structure and DDL – primary & foreign keys, required columns, naming and data typing standards - and why they are important.
• General understanding of Data Warehousing technology, ETL processes – facts, dimensions, star and snowflake schemas, data warehouse schema layers, SCD
• Exposure to AI/ML concepts and implementations in business contexts.

Good to have Skills/Experience:

• Healthcare/Pharma experience

Educational Qualification:

• BTech/BCA/BSc/MTech/MCA/MSc