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Sr. Data Engineer

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Sr Data Engineer

Location: India

Experience: 10+ Years

Department: Architecture Team, Data Insights & Analytics

Role Summary

We are seeking an accomplished Data Engineer to join our dynamic Architecture Team within the Data Insights & Analytics group. The ideal candidate will bring 7+ years of experience in architecting, developing, and managing robust, scalable data solutions for large-scale enterprises.

You will design and implementation of next-generation data architectures & AI ready Data Products and deliver enterprise insights. Deep expertise in the Databricks Lakehouse platform & AWS Cloud Services, with preferable Experience/Knowledge in SAP data processing .

Key Responsibilities

  • Architect, design, and build scalable data architectures, pipelines, and data products (Databricks, AWS).
  • Design and develop enterprise data models; manage the full data life cycle.
  • Extract, transform, and integrate data from SAP ECC/S4HANA and other non-SAP environments.
  • Build solutions for real-time, streaming, and batch data workloads.
  • Define and implement data security, governance, and compliance standards.
  • Adapt and implement data quality and observability practices.
  • Perform performance tuning and cost optimization.
  • Support Operations teams in day-to-day business needs.
  • Collaborate with business and technical teams to understand requirements and deliver scalable data architecture solutions.

Required Skills & Qualifications

  • Experience:
  • Minimum 10+ years in data architecture/data engineering roles.
  • Proven success in large-scale data environments.
  • Technical Proficiency:
  • Databricks Lakehouse platform:
  • Delta Lake & Medallion Architecture
  • DLT Pipelines
  • PySpark Workbooks
  • Spark SQL & SQL Warehouse
  • Unity Catalog (data governance, lineage)
  • Genie (query performance, indexing)
  • Security & Role-Based Access Control
  • Bonus: MLflow knowledge
  • Data Modeling:
  • ER & Dimensional modeling
  • Metadata management
  • Programming:
  • Python, SQL, PySpark
  • AWS Cloud Services:
  • S3, Lambda, EMR, Redshift, Bedrock
  • Familiarity with DevOps, CI/CD Process.

Preferred/Optional Skills

  • SAP ERP & S/4HANA data extraction (DataSphere, BDC)
  • SLT, SAP ABAP, CDS views knowledge
  • Manufacturing domain experience
  • SAP data domain expertise

Education

  • Master’s Degree in Computer Science, Information Systems or a related field is required.

Certifications (Preferred/Nice to Have)

  • Databricks Certified Data Engineer / Architect

Job Type: Full-time

Pay: ₹501,672.41 - ₹1,845,896.21 per year

Work Location: Remote

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