Subcon - Data Engineer

JobCubby; Pune District; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Birlasoft is seeking a Data Engineer (contractual) to design, develop, and manage scalable data platforms, pipelines, and data products for analytics, AI/ML initiatives in Pune. You will ensure data reliability, security, and governance while collaborating with cross-functional teams.

The role requires 6–8 years of experience with SQL, Python, and cloud-based data platforms, along with expertise in data modeling and modern engineering practices.

Qualifications

• 6–8 years of data engineering experience required.
• Proficiency in SQL, Python, and cloud-based data platforms required.
• Strong skills in data modeling, pipeline development, and modern data engineering practices.

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.

Skills

SQL

Python

PySpark

Scala

Java

CI/CD

Monitoring

Data Governance

Metadata & Lineage

Tools

Databricks

Delta Lake

Azure Data Factory

Azure Synapse

Azure Data Lake Storage

Snowflake

Job description

to apply - email only, no card. You can also save this posting or score it againstyour profile with AI.## About the roleThe 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.## RequirementsCandidates 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 descriptionArea(s) of responsibilitympowered 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: PuneThe 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 & LineageSuccess 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.