Lead Data Engineer _ETL, Informatica, PySpark

Position: Lead Data Engineer _ETL, Informatica, PySpark | 8 Years
Location: Vasanthanagar

Job Position:  Lead Data Engineer ETL, Informatica, PySpark, Databricks

Experience:

8+ Years

Location:

Bengaluru / Hyderabad (Hybrid)

Employment Type:

Full-Time

About Apexon:
Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation. Apexon brings together distinct core competencies in AI, analytics, app development, cloud, commerce, CX, data, Dev Ops, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences to help businesses capitalize on the unlimited opportunities digital offers.

Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients' toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.
We enable #Human First Digital

Role Summary :
We are seeking an experienced ETL Lead with 8
-10 years of expertise in designing, developing, and leading enterprise-scale data integration and data modernization initiatives. The ideal candidate should possess strong hands-on experience in Python, PySpark, Informatica, and modern cloud-based data platforms including Databricks, Snowflake, Azure Data Factory (ADF), AWS Glue, and related ETL technologies.
The candidate will be responsible for leading ETL development teams, driving data migration and modernization programs, establishing best practices, ensuring data quality, and delivering scalable data solutions across cloud and on-premises environments..

Key (Non-Negotiable) :  Python, PySpark, Informatica Power Center/IICS, Databricks, Snowflake, Azure Data Factory (ADF), AWS Glue, SQL

Key Responsibilities
Lead end-to-end ETL and Data Engineering projects from requirements gathering through deployment and production support.
Architect and develop scalable ETL/ELT pipelines using Python, PySpark, Informatica, Databricks, Snowflake, ADF, AWS Glue, and related technologies.
Collaborate with business stakeholders, architects, and product teams to understand data integration requirements.
Design and implement reusable frameworks for data ingestion, transformation, validation, and reconciliation.
Lead cloud migration and data modernization initiatives involving on-premise and cloud ecosystems.
Drive performance tuning and optimization of ETL jobs, Spark workloads, and data pipelines.
Establish data quality controls, governance standards, and operational monitoring processes.
Mentor and guide ETL developers and data engineers through code reviews, design reviews, and technical leadership.
Coordinate with cross-functional teams to ensure successful project delivery within agreed timelines.
Troubleshoot complex production issues and provide root cause analysis and remediation plans.
Support CI/CD implementation, release management, and Dev Ops best practices for data platforms.

Required Skills (Non-Negotiable)
8- 10 years of experience in ETL/Data Engineering.
Strong hands-on experience with Python, PySpark, and Informatica Power Center/IICS (Mandatory).

Experience with Databricks, Snowflake, Azure Data Factory (ADF), and AWS Glue.
Strong SQL development and performance tuning experience.

Experience with Apache Spark, Delta Lake, and Cloud Data Lakes.
Experience in Data Warehouse modernization projects.
Knowledge of Data Modeling concepts (Dimensional Modeling, Star Schema, Snowflake Schema).
Exposure to Data Governance and Data Quality frameworks.
Experience working in Agile/Scrum environments.
Understanding of Dev Ops, CI/CD pipelines, Git, Jenkins, Azure Dev Ops, or similar tools.
Lead a team of ETL Developers/Data Engineers.
8-10 years of experience in ETL/Data Engineering.
Strong expertise in Python, PySpark, and Informatica.
Demonstrated experience working with Databricks, Snowflake, ADF, AWS Glue, and cloud-native data platforms.
Proven track record of delivering complex enterprise data integration and data migration programs.
Excellent communication, stakeholder management, and leadership skills.

Our Commitment to Diversity & Inclusion:
Did you know that Apexon has been Certified by Great Place To Work, the global authority on workplace culture, in each of the four regions in which it operates: USA (for the seventh time in 2026), India (for the tenth consecutive time in 2026), the UK(for the fourth time in 2026) and Mexico (for the second time in 2026). Apexon is committed to being an equal opportunity employer and promoting diversity in the workplace.

We take affirmative action to ensure equal employment opportunity for all qualified individuals. Apexon strictly prohibits discrimination and harassment of any kind and provides equal employment opportunities to employees and applicants without regard…