Senior Data Engineer

Not Interested
Bookmark
Report This Job

profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

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...
View more view more

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala