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Data engineer

Roles & Responsibilities

  • Proficiency in SQL and data pipeline development.
  • Experience with ETL processes and data transformation.
  • Knowledge of BI and analytics concepts.
  • Familiarity with Azure analytics tools like Synapse, ADLS, ADF, and Databricks.

Requirements:

  • Design and implement data pipelines and ETL processes.
  • Develop and maintain SQL databases, tables, views, and stored procedures.
  • Collaborate with teams to identify data requirements and discover trends.
  • Present data insights using visualization tools.

Job description

§ Understand and analyze data in business context and build data pipeline for supporting data transformation
§ Design ETL and SQL processes for data and analytical ecosystem for data ingestion and consumption
§ Design and implement SQL databases, including tables, views and stored procedures
§ Should be well versed with BIAnalytics concepts
§ Develop complex SQL for insight generation and data mining
§ Collaborate with crossfunctional teams to identify and prioritize the requirement
§ Good to have an experience on campaign and sales analytics
§ Desired to have experience on Azure analytics ecosystem like Synaps, ADLS, ADF and Databricks
§ Discover trends and patterns on data sets
§ Present data using various data visualization techniques and tools

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