Feature Lead - Insights

Bank of America; Newark (DE); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading financial institution seeks a Feature Lead - Insights to develop scalable Analytics solutions and optimize data processing workflows. The role requires extensive experience in Big Data technologies and strong programming skills. Join a team committed to innovation and making a positive impact.

Qualifications

• At least 8 years of industry experience, with 5+ years in Big Data.
• Proficiency in Hadoop stack technologies and strong programming skills.

Responsibilities

• Develop high-performance Analytics solutions using Big Data.
• Utilize Hadoop stack and NoSQL technologies to optimize data workflows.

Skills

Automation

Influence

Result Orientation

Stakeholder Management

Technical Strategy Development

Architecture

Business Acumen

Risk Management

Solution Delivery

Solution Design

Agile Practices

Analytical Thinking

Collaboration

Data Management

DevOps Practices

Education

Bachelor's or Master's degree in Science, Engineering, or related fields

Tools

Hadoop

Python

Scala

Bash/Shell Scripting

Tableau

MongoDB

SingleStore

HBase

Spark

Kafka

Flink

Storm

Azure

AWS

GCP

Job description

Join to apply for the Feature Lead - Insights role at Bank of America

Job Description

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities, and shareholders every day.

Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates’ physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.

At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Responsibilities

• Develop high-performance and scalable Analytics solutions using the Big Data platform to facilitate the collection, storage, and analysis of massive data sets from multiple channels.
• Utilize your knowledge of Hadoop stack and storage technologies, including HDFS, Spark, MapReduce, Yarn, Hive, Sqoop, Impala, Hue, and Oozie, to design and optimize data processing workflows.
• Apply expertise in NoSQL technologies like MongoDB, SingleStore, or HBase to handle diverse data types and storage requirements.
• Implement Near real-time and Streaming data solutions to provide up-to-date information to millions of Bank customers.
• Collaborate with cross-functional teams to identify system bottlenecks, benchmark performance, and propose solutions to improve system efficiency.
• Define Big Data strategies and roadmaps for the Enterprise, aligning them with business objectives.
• Stay updated on emerging technologies and industry trends related to Big Data, evaluating new tools and frameworks for potential integration.
• Provide guidance and mentorship to junior teammates.

Required Qualifications

• Bachelor's or Master's degree in Science, Engineering, or related fields.
• At least 8 years of industry experience, with 5+ years in the Big Data domain.
• Proficiency in Hadoop stack technologies such as HDFS, Spark, Yarn, Hive, Sqoop, Impala, and Hue.
• Strong programming skills in Python, Scala, and Bash/Shell Scripting.
• Excellent problem-solving skills and ability to deliver effective solutions for business-critical applications.
• Strong command of Visual Analytics Tools, especially Tableau.

Desired Qualifications

• Experience with NoSQL technologies like HBase, MongoDB, SingleStore, etc.
• Experience with real-time streaming technologies such as Spark Streaming, Kafka, Flink, or Storm.
• Knowledge of Cloud Technologies like Azure, AWS, or GCP.
• Familiarity with machine learning algorithms, statistical analysis, and programming languages (Python or R).
• Understanding of Data Integration and Data Security within Hadoop ecosystem, including Kerberos.

Skills

• Automation, Influence, Result Orientation, Stakeholder Management
• Technical Strategy Development, Architecture, Business Acumen
• Risk Management, Solution Delivery, Solution Design
• Agile Practices, Analytical Thinking, Collaboration
• Data Management, DevOps Practices

Additional Details

Shift: 1st shift (United States of America)

Hours Per Week: 40