This is a Data Engineering role supporting a new initiative at Bank of America in Addison, TX. As a Big Data Engineer, you should have in-depth knowledge of Hadoop technologies, excellent project management skills, and high-level problem-solving skills. The incumbent will be required to design and implement Big Data tools and frameworks, implement ELT processes, collaborate with development teams, participate in testing/implementation of new Hadoop technologies and maintain the production system.
5-7 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.
Able to assist in testing the software code and infrastructure to support data ingestion for multiple teams.
Support multiple projects with competing deadlines.
Excellent verbal and written communication skills.
Bachelor’s or Master’s Degree in Computer Science or related field.
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 Teradata work 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.
Shift:1st shift (United States of America)
Hours Per Week:40
The job skills required for Big Data Engineer include SQL, Python, Computer science, Problem Solving, Initiative,and Programming etc. Having related job skills and expertise will give you an advantage when applying to be a Big Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Big Data Engineer. Select any job title you are interested in and start to search job requirements.