Big Data Engineer/ Feature Lead
Charlotte, North Carolina;Addison, Texas
**Job Description:**
**Position Summary**
Develops, enhances, debugs, supports, maintains and tests software applications that support business units or supporting functions. These application program solutions may involve diverse development platforms, software, hardware, technologies and tools. Participates in the design, development and implementation of complex applications using new technologies. May provide technical direction and system architecture for individual initiatives. Serves as a fully seasoned/proficient technical resource. May collaborate with external programmers to coordinate delivery of software application. Routine accountability is for technical knowledge and capabilities. Should be able to work independently under minimal supervision, with general guidance from more seasoned consultants. The candidate is expected to liaise with the business analysts, and other technology delivery manager.
**Required Skills**
+ Bachelors degree in Science or Engineering.
+ 7+ year of Industry experience.
+ Minimum 4-5 years of Big Data experience.
+ Solid understanding on OOP languages and must have working experience in C++, core java, J2EE.
+ Should have good Knowledge on Hadoop Cluster Architecture.
+ Hands on Hadoop and the Hadoop ecosystem required - Proven experience within CLOUDERA Hadoop ecosystems (HDFS, YARN, Hive, HBase, Sqoop, Spark, Hue, etc.)
+ Design and implement Apache Spark based real time stream processing data pipeline involving complex data processing.
+ Hands-on experience developing applications using Big Data, Kafka, Cassandra, Apache Spark and related areas.
+ Implement complex data processing algorithms in real time with optimized and efficient manner using Scala/Java.
+ Knowledge of any one of the scripting languages, such as Python, Unix Shell Scripting or PERL etc., is essential for this position.
+ Excellent analytical & problem solving skills, willingness to take ownership and resolve technical challenges.
+ Experience in performing Proof-Of-concept for new technologies.
+ Strong communication, documentation skills & technology awareness and capability to interact with technology leaders is a must.
+ Good knowledge on Agile Methodology and the Scrum process.
**Desired Skills**
+ Experience in Real time streaming ( Kafka )
+ Experience with Big Data Analytics & Business Intelligence and Industry standard tools integrated with Hadoop ecosystem. ( R , Python ) Visual Analytics Tools knowledge ( Tableau )
**Job Band:**
H5
**Shift:**
1st shift (United States of America)
**Hours Per Week:**
40
**Weekly Schedule:**
**Referral Bonus Amount:**
0
**Job Description:**
**Position Summary**
Develops, enhances, debugs, supports, maintains and tests software applications that support business units or supporting functions. These application program solutions may involve diverse development platforms, software, hardware, technologies and tools. Participates in the design, development and implementation of complex applications using new technologies. May provide technical direction and system architecture for individual initiatives. Serves as a fully seasoned/proficient technical resource. May collaborate with external programmers to coordinate delivery of software application. Routine accountability is for technical knowledge and capabilities. Should be able to work independently under minimal supervision, with general guidance from more seasoned consultants. The candidate is expected to liaise with the business analysts, and other technology delivery manager.
**Required Skills**
+ Bachelors degree in Science or Engineering.
+ 7+ year of Industry experience.
+ Minimum 4-5 years of Big Data experience.
+ Solid understanding on OOP languages and must have working experience in C++, core java, J2EE.
+ Should have good Knowledge on Hadoop Cluster Architecture.
+ Hands on Hadoop and the Hadoop ecosystem required - Proven experience within CLOUDERA Hadoop ecosystems (HDFS, YARN, Hive, HBase, Sqoop, Spark, Hue, etc.)
+ Design and implement Apache Spark based real time stream processing data pipeline involving complex data processing.
+ Hands-on experience developing applications using Big Data, Kafka, Cassandra, Apache Spark and related areas.
+ Implement complex data processing algorithms in real time with optimized and efficient manner using Scala/Java.
+ Knowledge of any one of the scripting languages, such as Python, Unix Shell Scripting or PERL etc., is essential for this position.
+ Excellent analytical & problem solving skills, willingness to take ownership and resolve technical challenges.
+ Experience in performing Proof-Of-concept for new technologies.
+ Strong communication, documentation skills & technology awareness and capability to interact with technology leaders is a must.
+ Good knowledge on Agile Methodology and the Scrum process.
**Desired Skills**
+ Experience in Real time streaming ( Kafka )
+ Experience with Big Data Analytics & Business Intelligence and Industry standard tools integrated with Hadoop ecosystem. ( R , Python ) Visual Analytics Tools knowledge ( Tableau )
**Shift:**
1st shift (United States of America)
**Hours Per Week:**
40
Learn more about this role
Full time
JR-22055794
Band: H5
Manages People: No
Travel: Yes, 5% of the time
Manager:
Talent Acquisition Contact:
Tamika Watson [C]
Referral Bonus:
0
Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity and affirmative action, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.
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