Azure Data Engineer

Pan India
Posted 2 months ago
Role
Azure Data Engineer
Job Location
Chennai, Bangalore, Hyderabad (Hybrid model)
Experience
Data Engineer (4 - 6yrs)
Senior Data Engineer (6 -10 yrs)

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.

Mandatory: 

  • Databricks, PySpark, ADLS, SQL Database
  • Optional: Azure Data Factory (ADF), Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB and Purview.
  • Strong programming, unit testing & debugging skills in SQL, Python or Scala/Java.
  • Some experience of using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic        
    Search.
  • Good Understanding of different file formats like Delta Lake, Avro, Parquet, JSON and CSV.
  • Experience of working in Agile projects and following DevOps processes with technologies like Git, Jenkins &       Azure DevOps.
  • Good to have:
  • Experience of working on Data Lake & Lakehouse projects
  • Experience of building REST services and implementing service-oriented architectures.
  • Experience of 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)

Work Locations:

CHENNAI

Perungudi, Chennai – 600096

HYDERABAD

Hitech City Rd, Madhapur, Telangana 500081

BENGALURU

Bellandur, Bengaluru, Karnataka 560103

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