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Cloud Integration Data Engineer

3 weeks ago

Cochin, Kerala, India beBeeData Full time ₹ 80,00,000 - ₹ 1,50,00,000
Job Description:

As a Data Engineer specializing in Cloud Integration, you will play a pivotal role in designing and implementing scalable data pipelines using Azure Data Factory, Synapse Analytics, and Data Lake. Your expertise will be instrumental in integrating data from external sources, including AWS-based data lakes and warehouses, as well as enterprise supply chain solutions like SAP.

The ideal candidate will have strong experience in data governance, building data automation tools using Python and related languages, and collaborating with cross-functional teams to translate business requirements into technical solutions.

Key Responsibilities:
  1. Design, build, and maintain real-time and batch data integration workflows between Azure, AWS, and on-premises sources.
  2. Lead the integration strategy for ingesting and harmonizing data from external sources, including AWS-based data lakes/warehouses and SAP systems.
  3. Automate ETL processes for data extraction, transformation, and loading across hybrid and multi-cloud environments.
  4. Develop data automation tools and reusable components using Python, PySpark, and other relevant frameworks/languages.
Required Technical Qualifications:
  1. 5+ years of professional data engineering experience.
  2. Proven track record integrating data from AWS services (S3, Redshift, Glue, etc.) into Azure or other cloud environments.
  3. Expert-level knowledge of Azure Data Factory, Synapse Analytics, Data Bricks, Azure Data Lake Storage, and Azure SQL Database, Apache Spark.
  4. Strong knowledge of both relational (SQL Server, PostgreSQL) and NoSQL (Cosmos DB) databases.
  5. Proficiency in Python, SQL, PySpark, and PowerShell for data automation and wrangling.
  6. Hands-on experience with SAP data models and integrating SAP data with Azure data lake.
Preferred Technical Skills:
  1. Experience with API-based data integration for cloud and enterprise applications.
  2. Experience with Infrastructure as Code (ARM templates, Terraform).
  3. Familiarity with data quality tools, metadata management, and automated data lineage tracking.
  4. Knowledge of containerization (Docker, Kubernetes) for data automation workflows.
  5. Knowledge of machine learning pipelines and MLOps practices.
Professional Skills:
  1. Strong problem-solving and analytical thinking abilities.
  2. Excellent communication skills with ability to explain technical concepts to non-technical stakeholders.
  3. Experience with Agile development methodologies.
The Opportunity We Offer:
  • Competitive salary commensurate with experience.
  • Professional development training and certifications.
Work Environment:
  • Remote work arrangement with flexible hours.
  • State-of-the-art technology and tools.
  • Collaborative, innovation-driven culture.
Application Instructions:

Please submit your resume and a cover letter highlighting your experience in Azure, AWS data integration, and SAP data extraction, as well as examples of data automation tools or frameworks you have developed.