Cloud Architect

4 days ago

Vellore, Tamil Nadu, India beBeeData Full time US$ 1,50,000 - US$ 1,70,000
Cloud Integration Data Engineer

We are seeking an experienced Cloud Integration Data Engineer to join our team. The ideal candidate will have a strong background in designing, building and maintaining scalable data pipelines using cloud-based technologies.

The successful candidate will lead the integration strategy for ingesting and harmonizing data from external sources, including AWS-based data lakes/warehouses and SAP systems. They will automate ETL processes for data extraction, transformation, and loading across hybrid and multi-cloud environments.

The role requires expertise in Azure Data Services, including Azure Data Factory, Azure Synapse Analytics, and Apache Spark. The candidate will also need strong knowledge of database technologies, including relational databases like SQL Server and PostgreSQL, as well as NoSQL databases like Cosmos DB.

In addition, the successful candidate will have hands-on experience with SAP data models and integrating SAP data with Azure data lake. Proficiency in programming languages like Python, SQL, and PySpark is also required.

The ideal candidate will be able to design and implement data governance frameworks, ensuring data quality and security across all pipelines. They will also establish data documentation and lineage tracking, creating a robust data ecosystem.

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage.
  • Lead the integration strategy for ingesting and harmonizing data from external sources, including AWS-based data lakes/warehouses and SAP systems.
  • Automate ETL processes for data extraction, transformation, and loading across hybrid and multi-cloud environments.

Required Skills and Qualifications:

  • 5+ years of professional data engineering experience.
  • Data Integration: Proven track record integrating data from AWS services (S3, Redshift, Glue, etc.) into Azure or other cloud environments.
  • Azure Data Services: Expert-level knowledge of Azure Data Factory, Azure Synapse Analytics, Data Bricks, Azure Data Lake Storage, and Azure SQL Database, Apache Spark.
  • Database Technologies: Strong knowledge of both relational (SQL Server, PostgreSQL) and NoSQL (Cosmos DB) databases.
  • Programming Languages: Proficiency in Python, SQL, PySpark and PowerShell for data automation and wrangling.
  • Version Control: Proficiency with Git and Azure DevOps.
  • Hands-on experience with SAP data models and integrating SAP data with Azure data lake.

Benefits:

  • Competitive salary and benefits package.
  • Ongoing training and development opportunities.
  • Flexible working hours and remote work options.

Candidates should submit their application, including a detailed resume and cover letter, to [insert contact information].

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