Senior ETL Developer

hace 4 semanas

Zaragoza, Zaragoza, España O9 Solutions Inc. A tiempo completo

About the Role:

We are seeking a skilled Senior ETL Consultant to join our team at O9 Solutions Inc. The ideal candidate will have expertise in SQL, SSIS, Python, and PySpark, with a strong focus on data modeling, ETL processes, and cloud-based data platforms.

Key Responsibilities:

  • Oversee and manage intricate project tasks, providing insights and directions related to advanced data ingestion, transformation, validation, and publishing.
  • Review and analyze the data provided by the customer along with its technical/functional intent and interdependencies.
  • Engage proactively with functional teams, ensuring a thorough understanding of end-to-end data flows related to the technical integration.
  • Build data ingress or egress pipelines, handling huge volumes of data and developing data transformation functions using languages such as SSIS, Python, PySpark, SQL, etc.
  • Integration of various data sources definitions like Teradata, SAP ERP, SQL Server, Oracle, Sybase, ODBC connectors & Flat Files through API or Batch.

Requirements:

  • 3+ years of experience in Data architecture, Data engineering, or a related field, with a strong focus on data modeling, ETL processes, and cloud-based data platforms.
  • Hands-on experience with SSIS Packages, Python, PySpark, SQL languages along with workflow management tools like Airflow, SSIS.
  • Experience working with Parquet, JSON, Restful APIs, HDFS, Delta Lake, and query frameworks like Hive, Presto.
  • Advanced SQL knowledge and experience working with relational databases, query authoring (SQL), as well as familiarity with a variety of databases.
  • Working experience with version control platforms, e.g. GitHub, Azure DevOps.
  • Familiarity with Agile methodology.

What You'll Do:

As a Senior ETL Consultant, you will be responsible for overseeing and managing intricate project tasks, providing insights and directions related to advanced data ingestion, transformation, validation, and publishing.

You will review and analyze the data provided by the customer along with its technical/functional intent and interdependencies, and engage proactively with functional teams, ensuring a thorough understanding of end-to-end data flows related to the technical integration.

You will build data ingress or egress pipelines, handling huge volumes of data and developing data transformation functions using languages such as SSIS, Python, PySpark, SQL, etc.

You will integrate various data sources definitions like Teradata, SAP ERP, SQL Server, Oracle, Sybase, ODBC connectors & Flat Files through API or Batch.

What You Should Have:

To be successful in this role, you will need to have 3+ years of experience in Data architecture, Data engineering, or a related field, with a strong focus on data modeling, ETL processes, and cloud-based data platforms.

You will need to have hands-on experience with SSIS Packages, Python, PySpark, SQL languages along with workflow management tools like Airflow, SSIS.

You will need to have experience working with Parquet, JSON, Restful APIs, HDFS, Delta Lake, and query frameworks like Hive, Presto.

You will need to have advanced SQL knowledge and experience working with relational databases, query authoring (SQL), as well as familiarity with a variety of databases.

You will need to have working experience with version control platforms, e.g. GitHub, Azure DevOps.

You will need to have familiarity with Agile methodology.

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