ETL (IBM DataStage) - Software Engineer

Shift Timings: 1:00 pm to 10:00 pm
Skill: ETL (IBM Datastage), SQL, UNIX/Linux scripting, and Big Data distributed system,PythonTeradata (Vantage), SQL Server, Greenplum, HiveNotice Period: 0-30 Days

Your future duties and responsibilities:
Core SkillsSecondary SkillsRequires a Bachelor's in Computer Science, Computer Engineering, or related field.5+ years of experience as a Data Engineer. Experience with Data Warehousing, Operational Data Store, Data technologies and ETL solutions.

4+ years of experience in ETL (IBM Datastage), SQL, UNIX/Linux scripting, and Big Data distributed systems. 4+ years of experience working with Teradata (Vantage), SQL Server, Greenplum, Hive and delimited text files would be helpful. 3+ years of experience in programming languages like Python, orchestration tools and processes.

Experience in building ETL pipelines using Python pandas. Extensive experience in data migration, data analysis, data transformations, conversion, interface, large volume data loading (ETL techniques), database modeling, and performance SQL tuning. Experience in leveraging database tools to develop DDL scripts, stored procedures, and functions to create and alter database objects. Hands-on experience with Git version control processes, and other release processes Exposure in RDD s with Python/Scala using Spark framework.
Delivering all aspects of the software development lifecycle, including design, coding, integration testing, deployment, operations support, and documentation using Agile methodologies.

Also, able to work independently, collaborate with cross-functional teams on technical understanding, handle multiple concurrent projects, with an ability to prioritize and manage projects effectively with changing priorities.delivering all aspects of the software development lifecycle, including design, coding, integration testing, deployment, operations support, and documentation using Agile methodologies.

Also, able to work independently, collaborate with cross-functional teams on technical understanding, handle multiple concurrent projects, with an ability to prioritize and manage projects effectively with changing priorities.