Data Engineer

No of openings: 5

Must : Databricks or equivalent bigdata frameworks, CDC (change Data Capture), Kafka

6+ years of experience designing and building data pipelines using

Apache Spark, Databricks or equivalent bigdata frameworks.

• Handson expertise with streaming and messaging systems such as

Apache Kafka (publish subscribe architecture), Confluent Cloud,

RabbitMQ or Azure Event Hub. Experience creating producers,

consumers and topics and integrating them into downstream

processing.

• Deep understanding of relational databases and CDC. Proficiency

in SQL Server, Oracle or other RDBMSs; experience capturing

change events using Debezium or native CDC tools and

transforming them for downstream consumption.

• 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

optimisation.

• Version control and DevOps. Familiarity with Git and CI/CD

pipelines; ability to automate deployment and manage

infrastructure as code.

• Strong problem solving and communication skills. Ability to work

with cross functional teams and articulate complex technical

concepts to nontechnical stakeholders..