Join Birlasoft, a global leader in Cloud, AI, and Digital technologies, as a Data Engineer. This role is key to designing, developing, and managing robust data platforms and pipelines. You will be instrumental in providing high-quality, governed data essential for analytics, AI/ML, reporting, and core business operations, ensuring enterprise-wide data availability with a focus on reliability, security, and compliance.

As part of the renowned CKA Birla Group, Birlasoft empowers societies worldwide through its consultative and design-thinking approach, enhancing business efficiency and productivity with over 12,000 professionals. We uphold a 170-year heritage of building sustainable communities.

Key responsibilities include designing and developing data ingestion, transformation, and integration pipelines. You will build scalable batch, streaming, and near real-time data solutions, alongside developing and optimizing data lake, lakehouse, and data warehouse architectures. The role also involves creating reusable data models, curated datasets, and data products, while implementing essential data quality, governance, lineage, monitoring, and security controls.

Furthermore, you will collaborate with cross-functional teams, troubleshoot production issues to enhance operational stability, and drive automation and standardization in modern data engineering practices.

We are seeking a Data Engineer with 6-8 years of experience, proficient in SQL, Python, PySpark, Scala, and Java. Expertise in Databricks, Delta Lake, Azure Data Factory, Synapse, ADLS, and Snowflake is crucial. Familiarity with cloud data platforms, various data modeling techniques (Star Schema, Snowflake Schema, Data Vault), and concepts like CI/CD, DevOps, Monitoring & Observability, Data Governance, Metadata, and Lineage are required. A strong understanding of enterprise data delivery, platform scalability, performance optimization, and automation is essential for success in this role.