Posted 04 June, 2026
Data Engineer III
First Tek, Inc.
Bengaluru,Karnataka,India,500081
Full Time
Reference: 365_463711_26-01586
Monday (WFH), Tuesday-Friday(WFO)
Role Summary:
Design, build, and maintain scalable data pipelines and data platforms on Azure
Enable reliable data flow for analytics, reporting, and business use cases
Ensure high-quality, secure, and efficient data solutions
Key Responsibilities:
Design and develop ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse
Build and manage data ingestion frameworks from multiple sources (APIs, databases, files, streaming)
Implement data transformations using SQL, Python, and Spark
Design data lake architecture (raw, curated, and consumption layers)
Optimize pipelines for performance, cost, and scalability
Develop reusable data engineering components and frameworks
Implement error handling, logging, and monitoring mechanisms
Perform data validation and resolve data quality issues
Work with structured and unstructured large-scale datasets
Collaborate with stakeholders to understand data requirements and deliver solutions
Support and enhance existing data platforms and pipelines
Follow best practices for security, governance, and compliance
Participate in design discussions and architecture reviews
Technical Skills:
Azure Data Factory (ADF)
Azure Databricks (Spark)
Azure Synapse Analytics
Azure Data Lake Storage (ADLS)
Experience Requirements:
7–8 years of overall IT experience
Minimum 4+ years in Azure Data Engineering
Hands-on experience in production-grade pipeline development
Experience working in agile development environmentsKnowledge of Power BI or reporting tools
Good to Have:
Experience with real-time/streaming pipelines
Exposure to Azure AI/ML services
Domain knowledge in enterprise data platforms
Role Summary:
Design, build, and maintain scalable data pipelines and data platforms on Azure
Enable reliable data flow for analytics, reporting, and business use cases
Ensure high-quality, secure, and efficient data solutions
Key Responsibilities:
Design and develop ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse
Build and manage data ingestion frameworks from multiple sources (APIs, databases, files, streaming)
Implement data transformations using SQL, Python, and Spark
Design data lake architecture (raw, curated, and consumption layers)
Optimize pipelines for performance, cost, and scalability
Develop reusable data engineering components and frameworks
Implement error handling, logging, and monitoring mechanisms
Perform data validation and resolve data quality issues
Work with structured and unstructured large-scale datasets
Collaborate with stakeholders to understand data requirements and deliver solutions
Support and enhance existing data platforms and pipelines
Follow best practices for security, governance, and compliance
Participate in design discussions and architecture reviews
Technical Skills:
Azure Data Factory (ADF)
Azure Databricks (Spark)
Azure Synapse Analytics
Azure Data Lake Storage (ADLS)
Experience Requirements:
7–8 years of overall IT experience
Minimum 4+ years in Azure Data Engineering
Hands-on experience in production-grade pipeline development
Experience working in agile development environmentsKnowledge of Power BI or reporting tools
Good to Have:
Experience with real-time/streaming pipelines
Exposure to Azure AI/ML services
Domain knowledge in enterprise data platforms
