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Azure Data Engineer with Synapse

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Country/Region: IN
Requisition ID: 31556
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Location: INDIA - PUNE - NORTHERN TRUST

Title: Azure Data Engineer with Synapse

Description:

About Birlasoft:
Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities.

Job title: - Data Engineer
Location: Pune (Relocation is considered)
Shift Timings: 4:00 PM to 1:00 AM IST

Interview: 2 round ( F2F & Virtual)
Laptop: Provided
GAP – 3 Months Gap only considered
Notice period -Immediate to 30 days
L1 will be scheduled Face to Face at Pune Office only and
L2 will be scheduled virtual.
Budget - 2,600,000.00

1.Project Overview: Candidate will be working in Risk metrics team to analyze large pool of data belonging to Identity Access Management and drive analytics to reduce the risk exposure.


3.Experience Level: 6.5+ Years relevant experience is must.
Level 2 (3-7 Yrs): 2500 INR/Hourly

4.Qualifications: - Bachelor's/master’s degree in computer science, Engineering, or a related field

5.Must have skills:
  • Minimum of 6 years of Data Engineering Experience
- - Minimum of 6 years of Data Engineering Experience
  • Build and manage scalable data lake solutions using Azure Data Lake Storage Gen2, integrating with services like Data Factory, Databricks, and Synapse Analytics.
  • Design and optimize data pipelines for efficient ingestion, transformation, and storage using SQL, Python, and modern file formats such as Parquet and Delta Lake.
  • Develop and deploy ETL solutions on Azure
  • Excellent oral and written communication skills
  • Self-starter with analytical, organizational, and problem-solving skills
  • Experience with data modelling, data warehousing, and dimensional modelling concept
  • Familiarity with data governance, data security.
6.Tasks & responsibilities
  • Collaborate with team members and stakeholders to understand data and metric requirements
  • Pull data from a variety of sources into a central data platform
  • Structure datasets and calculate metrics based on requirements
  • Develop automated scripts to automate otherwise manual processes
  • Communicate concerns and data findings as they arise to the appropriate team members or stakeholders
  • Present data findings and solutions in a way that is easy for non-technical team members and stakeholders to understand

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