Devops Engineer @ GSPANN

Job Description

About the Company :

Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm.

Job Position- Azure Data Engineer

Experience - 5+ years

Location- Hyderabad, Gurgaon

Skills- Azure, Pyspark/Databrick, SQL, Fabric (Certification-preferred)

Shifts: 12.30 9.30 PM

Responsibilities

• 5 years of experience in leading the design and development of data and analytics projects in a global company. Experience in working for projects across-functionaltional teams, building sustainable processes and coordinating release schedules.
  MS SQL experience with data modeling
  Experience in working with Microsoft Azure and strong knowledge about ADLS, Blob Storage, Data Factory, SQL Server and Warehouses. Experience in Cloud based EDW platforms (Snowflake, Synapse, Redshift, Big Query etc)
  Build and launch new data models that provide intuitive analytics for the analysts and customers
  Help build high-performance and flexible streaming pipelines that can rapidly evolve to handle new technologies, techniques, and modeling approaches
  Build data expertise and own data ingestion pipelines
  Write complex ETL processes and framework using Azure Data Factory ADF
  Implement large-scale near real-time streaming data processing pipelines
  Strong knowledge of Spring frameworks Experience with Kafka messaging platform Experience with Big Data/streaming platforms such as Spark, Flink, Kafka Streams, and/or EventHub Experience using Azure Cloud (Azure vm, Azure cognitive search, HDI, Azure functions, ADLS, etc.)
  Familiarity with containers, micro-services and APIs Experience working with different operating systems (Unix, Windows, Linux)

Please provide your self-ratings (out of 5) for the following skills:

• SQL:
• MS Fabric:
• Microsoft Azure:
• Databricks:
• PySpark:
• Stored procedures:
• Azure Devops :

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