Data Science

Senior Data Engineer(Azure)-GSRJ (Remote)

Preferable Location(s): Gurugram, India | Delhi, United States of America | Hyderabad, India | Ahmedabad, India | Pune, India | Chennai, India | Indore, India | Kolkata, India
Work Type: Full Time
Responsibilities:

  • Plan, configure, deploy, and optimize Microsoft Azure based Data solutions.
  • Collaborate with other team members to develop and enhance deliverables.
  • Continuously improve team processes to ensure information is of the highest quality, contributing to the overall effectiveness of the team.
  • Seast of industry changes, especitay abrally in the areas of cloud data and analytics technologies.
  • Ability to simultaneously work and deliver on more than one project on Individual contributor role.
  • Ability to work on multiple areas like Data pipeline ETL, Data modelling & design, writing complex SQL queries etc.
  • Capable of planning and executing on both short-term and long-term goals individually and with the team.
  • Provides best practices, direction for data engineering and design across multiple projects and functional areas.
  • Partner with Data Engineers, Data architects, domain experts, data analysts and other teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service
What we are looking for:
  • 3+ years of experience Developing, deploying data solutions using Power BI, Azure platform and pyspark.
  • Experience on designing Data pipelines (ETL/ELT), Datawarehouse and Data marts
  • Hands-on expert with real-time data processing and analytics, data ingestion (batched and streamed), and data storage solutions
  • Hands on Azure Analysis Services & Power BI and good to have experience on other tools
  • Hands on experience with Data Factory, Data Lake Storage, Databricks, Data Explorer, Machine Learning, and Azure Synapse Analytics is good to have.
  • Expert at creating data dissemination diagrams, data flow diagrams, data lifecycle diagrams, data migration diagrams, and data security diagrams etc.
  • Demonstrated strength in data management, orchestration, access control, etc
  • A proven expert in writing optimized SQL to deal with large data volumes.
  • Hands on knowledge on Python along its main data libraries like Pandas, Numpy, Beautiful soup etc.

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