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Salary
$28k – $55k per year (Estimated)
Location
In office (Pune)
Seniority
Staff · 8+ years exp
Overview
Company
Impact
Profile match
Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.

We are seeking a highly skilled Senior Data Engineer with 8-12 years of experience in designing, developing, and managing scalable data platforms and enterprise data solutions. The ideal candidate will have strong expertise in data engineering, cloud technologies, ETL/ELT development, data warehousing, and big data ecosystems.

The candidate will play a key role in building modern data platforms, enabling advanced analytics, business intelligence, AI/ML initiatives, and data-driven decision-making across the organization.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and data integration frameworks.
  • Build and optimize ETL/ELT processes for structured and unstructured data sources.
  • Develop and manage enterprise data warehouses, data lakes, and lakehouse architectures.
  • Implement data ingestion, transformation, and orchestration solutions using cloud-native services.
  • Collaborate with business analysts, data scientists, architects, and stakeholders to understand data requirements.
  • Ensure data quality, governance, security, and compliance standards are met.
  • Optimize database and query performance for large-scale datasets.
  • Design and implement real-time and batch data processing solutions.
  • Support reporting, analytics, AI/ML, and advanced data engineering initiatives.
  • Participate in architecture reviews and provide technical leadership to the data engineering team.
  • Develop CI/CD pipelines and automate deployment processes for data platforms.
  • Mentor junior engineers and establish engineering best practices.
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