Chief Data Infrastructure Architect

2 weeks ago

Pune, Maharashtra, India beBeeDataEngineering Full time ₹ 12,00,000 - ₹ 18,00,000
Job Title: Azure Data Engineer

As a skilled and experienced data engineer, you will be responsible for designing, implementing, and maintaining large-scale data warehouses using Databricks and Azure Stack.

The ideal candidate will have a deep understanding of Star and Snowflake dimensional modeling, strong knowledge of data management principles, and hands-on experience with SQL, Python, and Spark (PySpark).

In this dynamic environment, you will collaborate with businesses to understand reporting needs and develop data models to fulfill them. You will also be responsible for driving technical discussions, orchestrating data pipelines, and working with DW/BI leads to understand new ETL pipeline development requirements.

  • Design and implement modern data warehouse solutions using Databricks and Azure Stack.
  • Collaborate with DW/BI leads to understand new ETL pipeline development requirements.
  • Triage issues to identify gaps in existing pipelines and fix them.
  • Work with businesses to understand their reporting needs and develop data models to fulfill them.
  • Help junior team members resolve issues and technical challenges.
  • Drive technical discussions with client architects and team members.
  • Orchestrate the data pipelines in the scheduler via Airflow.
Required Skills and Qualifications:
  • 5+ years of IT experience in data warehousing and ETL projects.
  • Deep understanding of Star and Snowflake dimensional modeling.
  • Strong knowledge of data management principles.
  • Good understanding of Databricks Data & AI platform and Azure Data Factory Architecture.
  • Hands-on experience with SQL, Python, and Spark (PySpark).
  • Experience working with structured and unstructured data, including imaging and geospatial data.
  • Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, and GIT.
  • Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, and troubleshooting.
  • Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
Benefits:
  • Dynamic and fast-paced work environment.
  • Opportunity to work on multiple concurrent projects.
  • Chance to develop your skills and expertise in data engineering.
Others:

Mandatory skills include Python, PySpark, and Spark with Azure/Azure Data Factory.

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