Title: Data Engineer
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: Bengaluru & Pune (Relocation is considered)
Shift Timings: 4:00 PM to 1:00 AM IST
Budget - 26,00,000.00
Qty:2 contractors
Interview: 1 round (Virtual)
Laptop: Provided
GAP – 3 Months Gap only considered
Notice period -Immediate to 30 days
L1 HM's Interview availability: Post 7 PM IST
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.
Experience Level: 7+ Years relevant experience is must.
Qualifications: - Bachelor's/master’s degree in computer science, Engineering, or a related field
Must have skills:
- 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.
Nice to Haves:
•Knowledge of big data technologies such as Apache Hadoop, Spark, or Kafka
•Azure Databricks & Azure Cosmos DB
•Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate is a plus.
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