IT&Data Engineer

Infosys; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Infosys is seeking an experienced Senior Data Engineer to drive governance and reliability of data products in OneSource 2.0 / OneHouse DTUs. You will act as a technical reference, mentor junior engineers and coach design choices within a guardrail framework, implementing end-to-end data ingestion and transformations.

You will build Bronze/Silver/Gold datasets, optimize performance and cost, and contribute to EDRs and CI/CD practices, reporting to the Chapter Manager in a scalable data analytics

Qualifications

• Strong data engineer experience in enterprise environments, with hands-on OneSource 2.0 / OneHouse 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).

Responsibilities

• Act as the technical reference for the squad's data engineering work on OneSource 2.0.
• Guide solution build within guardrails; drive design and code quality through peer review.
• Mentor and upskill junior data engineers; support estimation and technical planning.
• Contribute to Engineering Decision Records (EDRs) for implementation-level decisions.
• Data ingestion (config-driven).
• Configure ingestion using the OneHouse metadata-driven framework: create/modify JSON configuration files (ingestion, Bronze) and deploy via GitHub / GitOps / CI-CD.
• Onboard sources (SAP/DB2, files, Snowflake, external push/pull) into OneHouse, ensuring reliability, completeness and lineage.
• Transformation data modelling (core value).
• Build Silver (cleaned, harmonized, modelled) and Gold (business aggregations / data products) datasets implementing business KPIs.
• Apply and enrich reusable logic from the Transformations Library; document and version it.
• Translate KPI definitions into scalable transformations aligned with domain data models.
• Platform engineering within DTUs.
• Develop within DTUs using Databricks (Spark/SQL/Delta Lake) and, where relevant, ADF, Snowflake or Informatica.
• Structure data across Bronze / Silver / Gold; optimize performance, cost (FinOps) and scalability.
• Apply best practices for CI/CD, IaC, monitoring and data quality checks.
• Governance data products.
• Verify integrity of ingested data and entities in Unity Catalog; respect GBDO / Data Owner validation and security-by-design.
• Ensure only OneHouse-stored, catalogued data is published as shareable, certified data products (SSOT).

Skills

Databricks

Spark/SQL

Delta Lake

ADF/Azure stack

Snowflake

Informatica

Education

MCA

ME

MSc

MTech

Bachelor of Engineering

BE

BSc

BTech

Tools

GitHub

CI/CD

Databricks UI

Job description

Job Summary

Role purpose: He/she builds governed, reusable data products - contributing to OneHouse (the central lakehouse) and delivering transformations within Data Transformation Units (DTUs) - while raising the technical bar of the squad through mentoring, design guidance and code quality. As a chapter member, the role provides technical leadership at squad level, but does not carry people-management, capacity or standard-setting accountabilities - which remain with the Chapter Manager and the Chapter Lead. Level reporting note: This is an individual-contributor role at L9. The role reports to the DA Engineering Chapter Manager (L8), preserving the chapter reporting line (Chapter Lead Chapter Manager chapter team member). People-management, staffing and standard-setting are explicitly out of scope to keep the role distinct from the L8 Chapter Manager. Main mission: Ensure, within a squad, the technical quality and reliability of data products delivered on OneSource 2.0 - acting as hands‑on technical reference and coach - so that Bronze Silver Gold datasets serve as a trusted Single Source of Truth (SSOT), under the guidance of the Chapter Manager.

Roles Responsibilities

• Act as the technical reference for the squad's data engineering work on OneSource 2.0
• Guide solution build within guardrails; drive design and code quality through peer review
• Mentor and upskill junior data engineers; support estimation and technical planning
• Contribute to Engineering Decision Records (EDRs) for implementation-level decisions
• Data ingestion (config-driven)
• Configure ingestion using the OneHouse metadata-driven framework: create/modify JSON configuration files (ingestion, Bronze) and deploy via GitHub / GitOps / CI-CD
• Onboard sources (SAP/DB2, files, Snowflake, external push/pull) into OneHouse, ensuring reliability, completeness and lineage
• Transformation data modelling (core value)
• Build Silver (cleaned, harmonized, modelled) and Gold (business aggregations / data products) datasets implementing business KPIs
• Apply and enrich reusable logic from the Transformations Library; document and version it
• Translate KPI definitions into scalable transformations aligned with domain data models
• Platform engineering within DTUs
• Develop within DTUs using Databricks (Spark/SQL/Delta Lake) and, where relevant, ADF, Snowflake or Informatica
• Structure data across Bronze / Silver / Gold; optimize performance, cost (FinOps) and scalability
• Apply best practices for CI/CD, IaC, monitoring and data quality checks
• Governance data products
• Verify integrity of ingested data and entities in Unity Catalog; respect GBDO / Data Owner validation and security-by-design
• Ensure only OneHouse-stored, catalogued data is published as shareable, certified data products (SSOT)

Technical Requirement

• Strong Data Engineer experience in enterprise environments, with hands-on OneSource 2.0 / OneHouse 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

Additional Responsibility

• Building governed Bronze/Silver/Gold data products in OneHouse and DTUs, and coaching junior engineers - while reporting to the L8 Chapter Manager. Lead reflects technical seniority, not a management layer, keeping the role cleanly one level below the Chapter Manager in the chapter structure

Educational Requirement

• MCA,ME,MSc,MTech,Bachelor of Engineering,BE,BSc,BTech

Preferred Skills

• Technology->Data Engineering->Databricks

Service Line

Data Analytics Unit