Azure Data Engineer

Brief Job Description

Job Title: Azure Big Data Engineer

Chennai | Hyderabad | Bangalore

Curious about the role?What your typical day would look like?

As a Big Data Engineer (Azure), you will build and learn about a variety of analytics solutions & platforms, data lakes, modern data platforms, data fabric solutions, etc. using different Open Source, Big Data, and Cloud technologies on Microsoft Azure. On a typical day, you might

• Design and build scalable & metadata-driven data ingestion pipelines (For Batch and Streaming Datasets)
• Conceptualize and execute high-performance data processing for structured and unstructured data, and data        
  harmonization
• Schedule, orchestrate, and validate pipelines
• Design exception handling and log monitoring for debugging
• Ideate with your peers to make tech stack and tools-related decisions
• Interact and collaborate with multiple teams (Consulting/Data Science & App Dev) and various stakeholders to     meet deadlines, to bring Analytical Solutions to life.

What do we expect?

• 4 to 9 years of total IT experience with 2+ years in big data engineering and Microsoft Azure
• Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS,
  Azure SQL Database
• A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming                
  Analytics, Cosmos DB, and Purview
• A passion for writing high-quality code and the code should be modular, scalable, and free of bugs (debugging      
  skills in SQL, Python, or Scala/Java).
• Enthuse to collaborate with various stakeholders across the organization and take complete ownership of                
  deliverables.
• Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search
• Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV
• Good knowledge of building and designing REST APIs with real-time experience working on Data Lake or                   
  Lakehouse projects.
• Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner
• Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are                
  valuable addition.