Data Engineer MS Fabric
Summary
Senior Azure data engineer in HGS's Cloud Analytics practice: designs and builds end-to-end cloud analytics solutions for customers on Microsoft Azure (Data Factory, Synapse, Databricks, MS Fabric), writes SQL/Python, runs Spark workloads, and contributes to presales such as POCs and demos. Based in Hyderabad or Indore.
Position: Senior Azure Data Engineer (MS fabric)
Location: Hyderabad/Indore- India
Duration: Full time
Job Description :
Summary
We are looking for dynamic and result oriented cloud data engineers to join our fast-growing Cloud Analytics practice.
Position Summary
Candidate should be self-starters with a passion for business analytics and Data and use their excellent problem solving and analytical skills along with superb written and oral communication skills to develop solutions that delight our customers.
Keep reading if you have a strong desire to excel and are keen to work on end-to-end cloud analytics projects while further developing your career.
Key Responsibilities:
- Understand existing landscape and business objectives of the customers.
- Translate their explicit and implicit requirements into optimal, scalable, high performance Azure Analytics solution.
- Modify existing solutions to enhance, optimize, or to incorporate new functionality.
- Ensure high quality of deliverables from self and team.
- Provide candid, meaningful feedback and regular progress updates to the team and customer.
- Explore how the world of data has evolved and how the advent of cloud technologies is providing new opportunities for businesses to explore.
- Learn the various data platform technologies that are available, and how to take advantage of the available technologies for organizational benefit.
- Contribute to presales activities including proposals, POC and Demos.
Requirements / Qualifications:
Education:
Bachelors degree in Computer Science, Engineering, Mathematics, or a related field. Master’s degree preferred.
Experience & Requirements:
- 5-8 years of professional work experience with at least 3 years as cloud data engineer preferably in Microsoft Azure.
- Well versed with relational databases, nonrelational databases, data streams, and file stores
- Should be able to perform data-related tasks in Microsoft Azure cloud analytics platform.
- Well versed with Azure Data Factory, Azure Synapse, Azure Databricks, and Azure Analysis Services (AAS)
- Must possess excellent programming skills with SQL, and Python.
- Having experience working on spark platform
- Should be able to use services and tools to ingest, egress, and transform data from multiple sources, including SAP, within Microsoft Azure.
- Ability to collaborate with business stakeholders to identify and meet data requirements.
- Ability to Design and implement Azure analytics solutions.
- Manage, monitor, and ensure the security and privacy of data to satisfy business needs.
- Having Azure data engineer associate certification is preferred.
- Good to have experience in reporting tools like PowerBI.
- Having experience with Snowflake and Snowpro certification is a bonus.
- Excellent communication skills
- Demonstrated knowledge of a formal system implementation methodology – requirements gathering, design, build/test and deploy (Agile methodology preferable).