Teradata Developer

1 month ago

Greater Bengaluru Area, India Evalueserve India Full time

Elevate Your Impact Through Innovation & Learning


Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With presence in more than 45 countries across five continents, we excel 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 4,500+ talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as Colombia, the Middle East, and the rest of Asia-Pacific.


Recognized by Great Place to Work® in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.


About Data Analytics (DA) Data Analytics is one of the highest growth practices within Evalueserve, providing you rewarding career opportunities. Established in 2014, the global DA team extends beyond 1000+ (and growing) data science professionals across data engineering, business intelligence, digital marketing, advanced analytics, technology, and product engineering. Our more tenured teammates, some of whom have been with Evalueserve since it started more than 20 years ago, have enjoyed leadership opportunities in different regions of the world across our seven business lines.


What you will be doing at Evalueserve


● Work as an SME to design, architect, and develop new solutions for multiple accounts and clients.

● Serve as a technology consultant by providing valuable data insights to customer and help them improve their business effectiveness.

● Build best-in-class data engineering solutions for multiple accounts and clients.

● Be part of innovative culture that drives results and positively impacts customer business .

● Over 5 years of experience with Teradata data warehouse implementation and ETL pipeline development

● More than 3 years of experience in production support roles, including problem / incident management, release / deployment, operational readiness, capacity / availability management, application monitoring, reporting, and change / configuration management.

● Troubleshooting of Data Stage jobs and addressing production issues like performance tuning and enhancement

● Good to have knowledge of Quality Stage

● Experience in identifying vulnerabilities and opportunities for improvement, adopting best practice guidelines, standards, and procedures.

● 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.


What we’re looking at


• 5-8 years of experience in data engineering – with working exposure in Banking Domain is an added advantage.

• Strong technical skills in IBM DataStage, Teradata, Unix Shell scripting, SQL (Teradata/ Hadoop) and ControlM scheduling tools.

• Good understanding of Banking / Financial industry experience.

• Design and develop complex cloud-based data solutions for streaming and batch data processing.

• Lead a team of data engineers through technical solution, best practices, and guidelines.

• Perform data analysis, design ETL architecture and data modelling, and implement robust data pipelines.

• Work on proof of concepts projects / data prototype development in the data solutions domain. • interact with customers to understand their business problems and provide best - in-class data solutions.

• Develop an impeccable engineering and organizational practice through different software development practices.

• Foster a healthy, collaborative engineering culture in line with the company values.

• Experience in building and implementation of EDW and Datalake 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.


Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.


Want to learn more about our culture and what it’s like to work with us?


Write to us at:

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