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Kolkata · On-site · 4-7 Yrs · Aug 15
Accounting & Tax · 10000+ Employees · New York, US
Hiring: Engineering
What employees say
+ You get to learn a lot there, and I had an opportunity to work in the client location.
− Career and financial growth is slower.
More reviews on the company profile.
Interview experience · Summer Associate
2 interviews and an HR round Had one case interview and one interview about Indian defense Policy and strategy The case interview had 2 parts with one small presentaion towards the end The HR round was standart more l
Average difficulty · Bengaluru · 2,675 reports
More interview insightsJob description
Overview
Role & responsibilities
Responsibilities
- Years of Experience: Candidates with 4-8 years of hands on experience
- Position Requirements:
Qualifications
- 4+ years of experience working in Azure ADLS, Data Bricks, Data Flows, HDInsight, Azure Analysis services
- Should be aware of Data Management concepts and Data Modelling
- Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory
- Should have expertise in extracting data from different source systems like flat files, XML sources, JSON, Parquet files, Big data appliances, RDBMS, etc.
- Valuable knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory
- Should have clear understanding of DW lifecycle and contributed in preparing
- Detail Level Design document
- Unit Test plans
- Code review reports
- Must have strong knowledge in Snowflake and sql, understand joins, groups, functions & Stored procedures
- Must have experience in Unit and Integration Test creation and verification
- Proficient in creating documentation related to Project Architecture, Project end User Manual and Operations Hand off guide
- Should have good understanding of Data Migration processes, methods and project lifecycle
- Good in Unix Shell Scripting skills
- Strong analytical skills and troubleshooting skills
- Should be well versed with quality processes and implementation
- Excellent communication skills
- Strong understanding of Cloud data migration processes, methods and project lifecycle
- Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit
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