Azure Data Engineer

3 weeks ago


Warren, Michigan, United States Coforge Full time

Job Title: Azure Data Engineer

Key Skills:

  • Azure
  • Spark
  • Hadoop
  • ETL
  • SSIS

Job Requirements:

  • 8+ years of experience in data engineering tools like Spark, Hadoop, Azure Data pipelines, Azure Data factory, Azure Data Lake Storage, Databricks, Delta Lake, Python, SQLServer, and experience with other cloud providers –AWS, GCP.
  • Strong knowledge and experience designing and implementing solutions on Databases like Hadoop, SQLServer, Oracle, Snowflake.
  • Demonstrated experience in building, tuning data pipelines on Spark, Cloud native tools like EMR, Azure Data Factory, ETL tools –Informatica, Abinitio.
  • Understanding of batch and stream ingestion of data from source databases like SQLServer, Oracle, MySQL and other RDBMS based databases.
  • Experience working with business teams, dev teams and coming up with designs to deliver data solutions with best practices and standards.
  • Knowledge of SSIS a plus.

About the Role:

Coforge is seeking a highly skilled Azure Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, implementing and maintaining large-scale data pipelines using Azure technologies.

Responsibilities:

  • Design and implement data pipelines using Azure Data Factory, Azure Data Lake Storage, and Databricks.
  • Develop and maintain ETL processes using Informatica, Abinitio, and SSIS.
  • Work with business teams to understand data requirements and design data solutions.
  • Collaborate with dev teams to implement data solutions with best practices and standards.

Requirements:

  • 8+ years of experience in data engineering tools like Spark, Hadoop, Azure Data pipelines, Azure Data factory, Azure Data Lake Storage, Databricks, Delta Lake, Python, SQLServer, and experience with other cloud providers –AWS, GCP.
  • Strong knowledge and experience designing and implementing solutions on Databases like Hadoop, SQLServer, Oracle, Snowflake.
  • Demonstrated experience in building, tuning data pipelines on Spark, Cloud native tools like EMR, Azure Data Factory, ETL tools –Informatica, Abinitio.
  • Understanding of batch and stream ingestion of data from source databases like SQLServer, Oracle, MySQL and other RDBMS based databases.
  • Experience working with business teams, dev teams and coming up with designs to deliver data solutions with best practices and standards.
  • Knowledge of SSIS a plus.

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