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Hadoop Engineer
Bank of America | Addison TX 75001 USA | Full Time | Posted: 03/05/2021
Job Descriptiontop
Job Description:
Position Summary
Hadoop Data Engineer.
Required Skills
•-Bachelor’s or Master’s Degree in Computer Science or related field
•-7+ years of hands-on experience in software development with 2+ years of hands-on experience in Data Engineering
•-Strong understanding of Java or Python
•-Collaborate with Solution Architects and technology groups to designing, developing, and maintaining software solutions
•-Experience working on Agile teams
•-Excellent verbal and written communication skills
•-7+ years of hands-on experience in software development with 2+ years of hands-on experience in Data Engineering
•-Strong understanding of Java or Python
•-Collaborate with Solution Architects and technology groups to designing, developing, and maintaining software solutions
•-Experience working on Agile teams
•-Excellent verbal and written communication skills
Desired Skills
•-Must have hands on experience in designing, developing, and maintaining software solutions in Big Data Platforms.
•-Experience building E2E Data Engineering solution using Big Data technologies.
•-Understanding and experience with Hadoop ecosystem (preferably Cloudera).
•-Experience in HDFS, Map Reduce, Hive, impala, Linux/Unix technologies
•-Experience in Unix shell scripting
•-Experience programming in Python, Scala or Java
•-Able to analyze the existing shell scripts/python code to debug any issues
•-Sound knowledge of relational databases (SQL) and experience with large SQL based systems.
•-Ability Benchmark and debug critical issues with algorithms and software as they arise.
•-Exposure to RDBMS data bases like DB2, oracle and TeradataWork with line of business (LOB) personnel, external vendors, and internal Data Services team to understand requirements and communicate with DEV teams in compliance with corporate standards for architecture adherence and performance guidelines.
•-Able to assist in testing the software code and infrastructure to support data ingestion for multiple teams
•-Support multiple projects with competing deadlines
•-Experience building E2E Data Engineering solution using Big Data technologies.
•-Understanding and experience with Hadoop ecosystem (preferably Cloudera).
•-Experience in HDFS, Map Reduce, Hive, impala, Linux/Unix technologies
•-Experience in Unix shell scripting
•-Experience programming in Python, Scala or Java
•-Able to analyze the existing shell scripts/python code to debug any issues
•-Sound knowledge of relational databases (SQL) and experience with large SQL based systems.
•-Ability Benchmark and debug critical issues with algorithms and software as they arise.
•-Exposure to RDBMS data bases like DB2, oracle and TeradataWork with line of business (LOB) personnel, external vendors, and internal Data Services team to understand requirements and communicate with DEV teams in compliance with corporate standards for architecture adherence and performance guidelines.
•-Able to assist in testing the software code and infrastructure to support data ingestion for multiple teams
•-Support multiple projects with competing deadlines
Shift:
1st shift (United States of America)Hours Per Week:
40Contact Informationtop
Contact Name | - |
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How to apply | Employer provided a link where your application will be accepted. Click on the link below and follow instructions. |
Apply | Click Here (apply to job) |
Job Code | 20034748 |