Lead Hadoop Engineer 3 Months Remote Then Onsite in Alpharetta, GA or NY
Hadoop Data Engineer JD:
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+ years of hands-on experience working with Hadoop ecosystem.
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 be able to understand Banking system/processes and data flow
Can work independently, lead and mentor the team.. and mentor the team..
Job Types: Full-time, Contract
Pay: $50.00 - $75.00 per hour
Schedule:
8 hour shift
Work Location: In person
