Data Warehouse Specialist
1 week ago
About Evalueserve
Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. Our company excels in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. We have a network of 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada.
About Data Analytics
Data Analytics is one of the highest growth practices within Evalueserve, providing you with rewarding career opportunities. Our global DA team extends beyond 1000+ data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our team members have enjoyed leadership opportunities in different regions of the world across our seven business lines.
Responsibilities
- Over 5 years of experience with Teradata data warehouse implementation and ETL pipeline development
- Hands-on experience in writing Teradata SQL
- Work closely with Business Users to convert the business requirement into Technical Requirement
- Prepare Test cases for Unit Testing/SIT/Regression
- Hands-on experience in Teradata utilities such as Fast Load, Multi Load, BTEQ, and TPT
- Experienced in development testing and deployment, coding standards, and best practices
- Experience in preparing technical design documentation
- Experience in data quality management and best practices across data solution implementations
- Should be good in Unix Shell scripting
- Should have knowledge on Data warehouse Concepts
- Troubleshooting of Data Stage jobs and addressing production issues like performance tuning and enhancement
- Hands on experience in Control M Scheduling tool Experience in identifying vulnerabilities and opportunities for improvement, adopting best practice guidelines, standards, and procedures
- Knowledge of Core Banking Domain is an advantage
Requirements
- Experience in building and implementation of EDW and Data lake using any of the cloud platforms like Azure, AWS, GCP
- Experience in batch processing/real-time implementations using Python/Scala, Sqoop, Kafka, Hadoop, Spark, Hive, etc.
- Experience in relational and dimensional modelling
- Should be able to take ownership and deliver independently
- Providing technical consulting inputs to multiple projects/accounts
- Managing client expectations
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