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IT&Data Engineer

IT&Data Engineer

Infosys Limited
  • Posted 18 hours ago
  • Be among the first 10 applicants

Job Description

Job Description:

  • 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 D A 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

Key Responsibilities:

  • Technical leadership at squad level
  • Act as the technical reference for the squad s data engineering work on OneSource 2
  • 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 Requirements:

  • Expertise expected
  • 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 Responsibilities:

  • 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

Preferred Skills:

Technology->Data Engineering->Databricks

More Info

Job Type:
Industry:
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Key Skills

CI CD

JSON configuration

data quality checks

Delta Lake

About Company

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Hyderabad, India
Skills:
data engineering , Databricks, Technology