Job Title : Senior Data Engineer
Experience : 7-12 Years
Location : Bengaluru
Shift Time : 8:00am to 5:00pm or 1.30pm to 10.30pm
Roles & Responsibilities:
- Design and maintain scalable automated data pipelines and ETL processes on Microsoft Azure.
- Oversee data infrastructure to ensure performance resiliency and operational efficiency.
- Collaborate with data science analytics and architecture teams to deliver high-quality data solutions.
- Optimize data workflows for speed reliability and scalability.
- Ensure data quality using validation frameworks and best practices.
- Create and maintain documentation for data processes and configurations.
- Troubleshoot and resolve data pipeline issues promptly.
- Stay updated with new technologies and implement improvements.
- Manage CI/CD processes for deploying and maintaining data solutions.
- Guide and mentor junior data engineers.
Requisites:
- Strong knowledge of Azure Data Engineering tools (ADF Synapse Databricks Fabric Data Lake Blob).
- Proficiency in SQL and working with modern RDBMS.
- Solid understanding of software engineering fundamentals (CI/CD testing version control).
- Experience with big data technologies like Spark.
- Strong problem-solving analytical and communication skills.
- Preferred: Python/Scala/Java PySpark modern file formats (Parquet Delta Avro) API integrations Git Azure DevOps Ansible.
Required Skills:
Data EngineerAzure data factoryBig Data TechnologyPythonScalaJava
Job Title : Senior Data EngineerExperience : 7-12 YearsLocation : BengaluruShift Time : 8:00am to 5:00pm or 1.30pm to 10.30pmRoles & Responsibilities: Design and maintain scalable automated data pipelines and ETL processes on Microsoft Azure. Oversee data infrastructure to ensure performance resil...
Job Title : Senior Data Engineer
Experience : 7-12 Years
Location : Bengaluru
Shift Time : 8:00am to 5:00pm or 1.30pm to 10.30pm
Roles & Responsibilities:
- Design and maintain scalable automated data pipelines and ETL processes on Microsoft Azure.
- Oversee data infrastructure to ensure performance resiliency and operational efficiency.
- Collaborate with data science analytics and architecture teams to deliver high-quality data solutions.
- Optimize data workflows for speed reliability and scalability.
- Ensure data quality using validation frameworks and best practices.
- Create and maintain documentation for data processes and configurations.
- Troubleshoot and resolve data pipeline issues promptly.
- Stay updated with new technologies and implement improvements.
- Manage CI/CD processes for deploying and maintaining data solutions.
- Guide and mentor junior data engineers.
Requisites:
- Strong knowledge of Azure Data Engineering tools (ADF Synapse Databricks Fabric Data Lake Blob).
- Proficiency in SQL and working with modern RDBMS.
- Solid understanding of software engineering fundamentals (CI/CD testing version control).
- Experience with big data technologies like Spark.
- Strong problem-solving analytical and communication skills.
- Preferred: Python/Scala/Java PySpark modern file formats (Parquet Delta Avro) API integrations Git Azure DevOps Ansible.
Required Skills:
Data EngineerAzure data factoryBig Data TechnologyPythonScalaJava
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