Data Engineer

About the Role:

Infosys is looking for experienced professionals to join our growing team and contribute to large-scale digital transformation initiatives. The role offers an opportunity to work with global stakeholders, solve complex business challenges, and deliver innovative technology solutions.

Location | Experience | How to Apply:

Location: Hyderabad

Experience: 7 - 10 Years

How to Apply: Interested candidates can also apply directly via the Infosys Careers Page-

https://lnkd.in/dXq3Y-E7

Global stakeholder exposure

Opportunity to be part of a large-scale transformation journey

Good to have experience in consumer goods, manufacturing, retail, or related industry domains.

Technical Skills Required:

Expertise expected

Strong Data Engineer experience in enterprise environments, with hands-on OneSource 2.0 / One House & DTU practice

– Databricks (Spark/SQL, Delta Lake) mandatory; ADF / Azure stack; exposure to Snowflake / Informatica a plus

– Solid data modelling for analytics (facts, dimensions, derived metrics) and medallion architecture

– Comfortable with config-as-code / GitHub / CI-CD working model; experience integrating ERP / Finance / Commercial data (e.g. SAP)

Leadership positioning (technical, not managerial)

– Recognized technical reference within the squad; able to coach juniors and justify design choices among competing alternatives

– Operates under the guidance of the Chapter Manager — no people-management, capacity or standard-setting accountability

Key Responsibilities:

• Provide technical leadership and mentor data engineers.
• Build and manage data ingestion pipelines.
• Develop and optimize data transformations and models.
• Deliver scalable data solutions using Databricks and cloud technologies.
• Ensure data quality, governance, security, and compliance.