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Data Engineer
Data EngineerTata Consultancy Services • Bangalore Urban, Karnataka, India
Data Engineer

Data Engineer

Tata Consultancy Services • Bangalore Urban, Karnataka, India
30+ days ago
Job description

Greetings from TCS!

Job Title : Azure Data Engineer

Required Skillset : AWS(preferable) / AZURE Databricks

Location : PAN INDIA

Experience Range : 5-14 years

Job Description : Must Have :

  • Experience : More than 4 years in data integration, pipeline development, and data warehousing, with a strong focus on AWS / AZURE Databricks.
  • Proficiency in Databricks platform, management, and optimization.
  • Strong experience in AWS / AZURE Cloud, particularly in data engineering and administration, with expertise in Apache Spark / Azure Synapse Analytics Spark pool, S3, Athena, Glue / AZURE Data factory, Kafka, Lambda / Azure functions, Redshift, and RDS.
  • Proven experience in data engineering performance tuning and analytical understanding in business and program contexts.
  • Solid experience in Python development, specifically in pySpark within the AWS / AZURE Cloud environment, including experience with Terraform.
  • Knowledge of databases (Oracle, SQL Server, PostgreSQL, Redshift, MySQL, or similar) and advanced database querying.
  • Experience with source control systems (Git, Bitbucket) and Jenkins for build and continuous integration.
  • Understanding of continuous deployment (CI / CD) processes.
  • Experience with Airflow and additional Apache Spark knowledge is advantageous.
  • Exposure to ETL tools, including Informatica.

Good To Have :

  • Experience with Airflow and additional Apache Spark knowledge is advantageous.
  • Exposure to ETL tools, including Informatica.
  • Key Responsibilities :

  • Administer, manage, and optimize the Databricks environment to ensure efficient data processing and pipeline development.
  • Perform advanced troubleshooting, query optimization, and performance tuning in a Databricks environment.
  • Collaborate with development teams to guide, optimize, and refine data solutions within the Databricks ecosystem.
  • Ensure high performance in data handling and processing, including the optimization of Databricks jobs and clusters.
  • Engage with and support business teams to deliver data and analytics projects effectively.
  • Thanks & Regards,

    Ria Aarthi A.

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    Data Engineer • Bangalore Urban, Karnataka, India

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