Data Engineer

Job Title:

Location:

Experience:

Employment Type:

Notice Period:

About the Company

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.

• 6+ years of experience designing and building data pipelines using

Apache Spark, Databricks or equivalent bigdata frameworks.

CDC

• Proficiency in programming languages such as Python, Scala or Java and solid knowledge of SQL for data manipulation and transformation.

• Cloud platform expertise. Experience with Azure or AWS services for data storage, compute and orchestration (e.g., ADLS, S3, Azure Data Factory, AWS Glue, Airflow, DBX, DLT).

• Data modelling and warehousing. Knowledge of data Lakehouse architectures, Delta Lake, partitioning strategies and performance optimization.

• Version control and DevOps. Familiarity with Git and CI/CD pipelines; ability to automate deployment and manage infrastructure as code.

Mandatory Skills

Databricks or equivalent bigdata frameworks

CDC (change Data Capture)

Kafka, Apache Spark

SQL Server, Oracle, Data modelling and warehousing

Azure or AWS services

Important Note (Please Read Before Applying)

NOT apply

• You have

  less than 7 years

  or

  more than 9 years

  of experience
• You do not have

  hands-on Databricks or equivalent bigdata frameworks

  experience

• You are on a

  notice period longer than 15 days

• You are looking for

  remote only

  (role is hybrid in Chennai)
• You are a

  fresher or unrelated background (e.g., support, testing only, non-Java roles)

ONLY if