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Azure Synapse Technical Lead - Data Warehousing

Salary

₹18 - 25 LPA

Min Experience

8 years

Location

Poona, Maharashtra, India

About the role

Azure Devops Engineer (Synapse)

8 to 12 years of experience in Data Warehouse development, including at least 3-5 years in Azure Synapse, SQL Data Warehouse, or Dedicated SQL Pool || IST (9:30-6:30) || Remote || Very Immediate.

Azure Synapse Technical Lead (Sr. Hands-On Developer). Responsible for overseeing the entire lifecycle of a data mart, including data requirement analysis, design, and development of Azure Synapse pipelines, as well as setting up workflows and dependency flows.

Responsibilities

  • Design and develop pipelines from scratch based on existing requirements; analyze existing report queries and database procedures/functions in SQL Server.
  • Enhance and optimize existing Synapse pipelines for performance and high data quality.
  • Set up dependencies between external and internal job processes to ensure end-to-end system integrity.
  • Develop and customize Synapse pipelines according to end-user requirements.
  • Develop ETL/ELT load processes
  • Analyze source system data structures and fields.
  • Extract data from source systems using big data technologies (Spark Pool).
  • Create data mapping documentation, including transformation rules, default values, and selection criteria.
  • Implement, program, and configure transformation rules, as well as structure/field/value mapping.
  • Evaluate the quality of data in the data warehouse/Data Mart.
  • Manage source code control, Pull Requests, and Code Reviews.

Required Qualifications

  • 8 to 12 years of experience in Data Warehouse development, including at least 3-5 years in Azure Synapse, SQL Data Warehouse, or Dedicated SQL Pool.
  • Hands-on ETL coding experience in at least 2 projects as a Team Member or Team Lead, focusing on ETL coding using Azure Synapse, SQL Data Warehouse, or Dedicated SQL Pool.
  • Experience in designing and developing Synapse Pipelines for STAR Schemas (Type 1, Type 2, Role-Playing Dimensions, Facts) in at least 2 projects.
  • Proficiency in working with relational and big data technologies such as SQL Server, Oracle, SQL Pool, and Spark Pool.
  • Strong ability to communicate with business teams using business language.
  • Knowledge of Project Management Methodologies and principles.
  • Experience with billing and revenue management.

(ref:hirist.tech)

Skills

sql
azure synapse
sql data warehouse
dedicated sql pool
etl
elt
spark pool
sql server
oracle
project management