You will understand business rules; define and develop applications/ architecture, perform source to target data mapping, design, review, implement and optimize Data Engineering and ETL processes.
You will actively be involved in reviews on development and test specifications. Perform data analysis, provide development/QA support for existing systems, and troubleshoot data and/or system issues within the Data Warehouse environment as well as upstream systems, as needed.
You will drive investigations across the organizations and deliver resolution of technical, procedural, and/or operational issues to completion and ensure customer satisfaction.
You will develop test plans/cases, conditions and scenarios in support of ongoing business system applications and infrastructure.
You will provide timely and appropriate communication to business owners, business partners, and users on issue status and resolution.

Strong Background in Data warehousing principles, architecture and its implementation in large environments.
Experience in data engineering applications and products in AWS or any cloud provider.
Data engineering/ETL Design and Development knowledge using Hadoop or Spark
Experience with AWS (Dynamo DB, Lambda, or S3).
Hands-on experience on programming (Java, Python, or Scala), and to perform data/file manipulation using Shell scripting.
Experience using no-SQL technologies and Big Data platforms - strong development skills around Hadoop, Hive, Map Reduce.
Hands-on experience using Database procedural languages such as SQL, PL/SQL, T-SQL;
Hands-on experience with test practices and processes; test automation, test coverage and user acceptance testing.
Exposure to Object-oriented design, distributed computing, performance/scalability tuning, advanced data structures and algorithms, real time analytics and large scale data processing.
Exposure to ETL Development tools such as Airflow, SSIS, SSRS, DataServices.
Experience working in Agile/SCRUM model.

Education and Work Experience:
MS/ME/BS/BE/B Tech degree in Computer Science, related technical field, or equivalent work experience.
5+ years of experience in data warehouse technologies.