Job Title: Hadoop Data Engineer - ETL

Location: Atlanta GA

Job Description:

• The ETL Hadoop data engineer will be responsible for analyzing the business requirements design develop and implement highly efficient highly scalable ETL processes
• Candidate is required to perform daily project functions with a focus on meeting the business objectives on time in rapidly changing work environment and should be able to lead and drive globally located team to achieve business objectives
• Required Skills 5-10 years of hands on experience working with Informatica power center
• Hadoop Knowledge of various components of Hadoop ecosystem and experience in applying them to practical problems Hive Impala Spark
• Strong knowledge of working with relational databases like Teradata DB2 Oracle Sql server
• Hands on experience in writing shell scripts on Unix platform
• Experience in data warehousing ETL tools MPP database systems
• Understanding of Data Models Conceptual Logical and Physical Dimensional Relational Data Model Design Analyze functional specifications and assist in designing potential technical solutions
• Identifies data sources and works with source system team and data analyst to define data extraction methodologies
• Good knowledge in writing complex queries in Teradata DB2 Oracle PL SQL
• Maintain batch processing jobs and respond to critical production issues communicate well with stakeholders on his/her proposal recommendations
• Knowledge status risks regarding delivering solution on time
• Strong experience with Data Analysis Data Profiling Root Cause Analysis
• Should able to understand Banking system processes and data flow

Can work independently lead and mentor the team