Senior Data Engineer

We’re looking for a skilled and motivated Data Engineer to join our growing team and help us build scalable data pipelines, optimize data platforms, and enable real-time analytics.

What You'll Do

Design, develop, and maintain robust data pipelines using tools like Databricks, PySpark, SQL, Fabric, and Azure Data Factory

Collaborate with data scientists, analysts, and business teams to ensure data is accessible, clean, and actionable

Work on modern data lakehouse architectures and contribute to data governance and quality frameworks

Tech Stack

Azure | Databricks | PySpark | SQL

What We’re Looking For

3+ years experience in data engineering or analytics engineering

Hands-on with cloud data platforms and large-scale data processing

Strong problem-solving mindset and a passion for clean, efficient data design

Job Description:

Min 3 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks etc.

Azure experience is preferred over other cloud platforms.

5 years of proven experience with SQL, schema design and dimensional data modelling Solid knowledge of data warehouse best practices, development standards and methodologies Experience with ETL/ELT tools like ADF, Informatica, Talend etc., and data warehousing technologies like Azure Synapse, Microsoft Fabric, Azure SQL, Amazon redshift, Snowflake, Google Big Query etc.

Strong experience with big data tools (Databricks, Spark etc..) and programming skills in PySpark and Spark SQL.

Be an independent self-learner with “let’s get this done” approach and ability to work in Fast paced and Dynamic environment.

Excellent communication and teamwork abilities.

Nice-to-Have Skills: Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledge.

SAP ECC /S/4 and Hana knowledge.

Intermediate knowledge on Power BI Azure DevOps and CI/CD deployments, Cloud migration methodologies and processes