Data engineer

Malomatia; Pune District; In loco; INR 1.200.000 - 1.800.000; Tempo pieno

Descrizione del lavoro

Malomatia in Pune, India seeks an experienced Data Engineer to design and implement Azure-based data engineering solutions, building ETL/ELT pipelines with ADF and Databricks and developing PySpark and SQL data transformations.

You will create and manage data lakes and warehouses, ensure governance and security, and collaborate with cross-functional teams to deliver actionable insights. DP-203 certification is preferred; 5–10 years of experience is expected.

Competenze

• 5–10 years of Data Engineering experience.
• Hands-on with Azure Data Factory, Databricks and PySpark.
• Strong SQL, data modeling and data warehousing knowledge.
• DP-203 certification preferred.

Mansioni

• Design and implement Azure-based data engineering solutions.
• Build ETL/ELT workflows using Azure Data Factory and Databricks.
• Develop and optimize PySpark and SQL-based data transformations.
• Create and manage data lakes, warehouses, and analytical datasets.
• Integrate data from multiple enterprise applications and databases.
• Ensure data quality, security, and governance compliance.
• Troubleshoot and optimize large-scale data processing workloads.
• Collaborate with cross-functional teams to deliver business insights.
• Support deployment automation and CI/CD processes.
• Participate in architecture reviews and solution design discussions

Conoscenze

Azure Data Factory

Databricks

PySpark

SQL

Synapse

ADLS

Formazione

5-10 years Data Engineering experience

Strumenti

Azure Databricks

Azure Synapse

CI/CD pipelines

Descrizione del lavoro

Role & responsibilities

• Design and implement Azure-based data engineering solutions.
• Build ETL/ELT workflows using Azure Data Factory and Databricks.
• Develop and optimize PySpark and SQL-based data transformations.
• Create and manage data lakes, warehouses, and analytical datasets.
• Integrate data from multiple enterprise applications and databases.
• Ensure data quality, security, and governance compliance.
• Troubleshoot and optimize large-scale data processing workloads.
• Collaborate with cross-functional teams to deliver business insights.
• Support deployment automation and CI/CD processes.
• Participate in architecture reviews and solution design discussions

Preferred candidate profile

• 5-10 years of Data Engineering experience.
• Strong expertise in ADF, Databricks, PySpark, SQL, Synapse, and ADLS.
• Hands-on experience in building Azure-based ETL/ELT pipelines.
• Good understanding of Data Warehousing and Data Modeling.
• DP-203 certification preferred.
• Immediate to 30 days joiners preferred.