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Birlasoft Limited

Subcon - Data Engineer

Birlasoft Limited Pune, Maharashtra, India

IT Services and IT Consulting · 10,001+ employees

14 h ago
data-engineer Senior (5-10 yrs) Contractor India
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About the role

The Data Engineer will design, develop, and manage scalable data platforms, pipelines, and data products to support analytics and AI/ML initiatives. They are responsible for ensuring data reliability, security, and governance while collaborating with cross-functional teams to deliver high-quality data solutions.

What they look for

SQL Python PySpark Scala Java Databricks Delta Lake Azure Data Factory Synapse ADLS Snowflake Data Modeling CI/CD DevOps Data Governance

Requirements

Candidates must have 6-8 years of experience in data engineering with proficiency in SQL, Python, and cloud-based data platforms. Strong expertise in data modeling, pipeline development, and modern data engineering practices is required for this role.

Full description

Area(s) of responsibility

mpowered By Innovation Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities.

Job Title / Position: Data Engineer (contractual) Experience: 6-8 years Location: Pune

The Data Engineer designs, develops, and manages scalable data platforms, pipelines, and data products that provide trusted, governed, and high-quality data for analytics, AI/ML, reporting, and business operations. The role enables enterprise-wide data availability while ensuring reliability, security, scalability, and compliance. Key Responsibilities

  • Design and develop data ingestion, transformation, and integration pipelines.
  • Build scalable batch, streaming, and near real-time data solutions.
  • Develop and optimize data lake, lakehouse, and data warehouse architectures.
  • Create reusable data models, curated datasets, and data products.
  • Implement data quality, governance, lineage, monitoring, and security controls.
  • Collaborate with architects, analysts, data scientists, and business teams to deliver data solutions.
  • Troubleshoot production issues and improve operational stability.
  • Drive automation, standardization, and adoption of modern data engineering practices.

Core Skills & Technologies

  • SQL, Python, PySpark, Scala, Java
  • Databricks, Delta Lake
  • Azure Data Factory, Synapse, ADLS
  • Snowflake and Cloud Data Platforms
  • Data Modeling (Star Schema, Snowflake Schema, Data Vault)
  • CI/CD, DevOps, Monitoring & Observability
  • Data Governance, Metadata & Lineage

Success Measures

  • Reliable, secure, and governed enterprise data delivery
  • Improved scalability and performance of data platforms
  • Reduced manual effort through automation
  • High adoption of data products across analytics and business teams
  • Enablement of business use cases including manufacturing analytics, pricing analytics, prognostics, and commercial operations.

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