Azure Data Engineer

2 weeks ago


Anywhere in IndiaMultiple Locations Stratosphere IT Services PVT Ltd Full time

Job Title : Big Data Engineer


Azure Data Engineer



Overview :



We are seeking a highly skilled Big Data Engineer to join our team at Stratosphere IT Services PVT Ltd. As a Big Data Engineer, you will be responsible for designing, building, and maintaining scalable data ingestion pipelines, processing high-performance data, and harmonizing data from various sources.




  • Key Responsibilities :
  • Design and build scalable data ingestion pipelines using Azure Data Factory, PySpark, and Databricks
  • Conceptualize and execute high-performance data processing for structured and unstructured data
  • Schedule, orchestrate, and validate pipelines
  • Design exception handling and log monitoring for debugging
  • Collaborate with cross-functional teams to meet project deadlines


Requirements :




  • 4-8 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, PySpark, Databricks, ADLS, Azure SQL Database
  • Comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview
  • Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search
  • Strong programming skills in SQL, Python, or Scala/Java
  • Good understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV
  • Certifications like Data Engineering on Microsoft Azure (DP203) or Databricks Certified Developer (DE)


What We Offer :



Stratosphere IT Services PVT Ltd offers a competitive compensation package, opportunities for professional growth, and a collaborative work environment.



Curious about the Role :



A typical day as a Big Data Engineer at Stratosphere IT Services PVT Ltd would involve designing and building scalable data ingestion pipelines, processing high-performance data, and collaborating with cross-functional teams to meet project deadlines.



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