Bank of America

Data Management / Data Integration Engineer- Core Technology Infrastructure

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Job Description:
Infrastructure Information Services is looking for top talent to maintain and enhance a best-in-class Data Management and Integration Services capability over Infrastructure/ITSM data using Hadoop Architecture.
The Data Engineer will innovate and transform the systems integration landscape for the Technology Infrastructure organization, while following industry best practices and providing capability maturity in support of Enterprise Data Management standards. The ideal candidate is an expert in Data Warehousing and Master Data Management Design and Development. Candidate should have a strong understanding of data management concepts and applied DW/MDM development of DB-level routines and objects. Candidate should have experience in migrating traditional Relational Database Management System (RDBMS) to a Hadoop based architecture. In addition, have hands on experience developing in many of the Apache Hadoop based tools. It involves hands-on development and support of integrations with multiple systems and ensuring accuracy and quality of data by implementing business and technical reconciliations. Candidate needs to be able to understand macro level requirements and convert them into actionable tasks to deliver a technically sound product. Candidate should be able to work in teams in a collaborative manner.
Major Duties:

  • Analyze current RDBMS Master Data Management platform including orchestrations, workflows, transformations and help designing a scalable platform based on Hadoop for structured and semi-structure big data.
  • Ability to reengineer traditional database system and stored procedures using Big Data services
  • Accomplished development experience using Spark and Spark SQL
  • Expert level skills for evaluating, developing and performance tuning existing HIVE Managed Tables and PySpark implementation.
  • Experience with shell scripting. (e.g. bash, Python, etc.)
  • Apache Phoenix and HBase design, implementation and tuning.
  • Ability to manage multiple priorities


Required Job Skills:

  • 8+ years of total IT experience
  • At least 5 years of experience developing for Data Warehousing, Data Marts, and/or Master Data Management
  • Deep experience on Hadoop including Python, Spark, HIVE, HBase and HDFS with an emphasis on performance tuning and architecture. E.g. partitioning, bucketing and parquet, flat file
  • Programming experience Python, PySpark, Spark SQL.
  • Exposure to Relational Database Management Systems using Oracle, DB2 or SQL Server
  • Possesses and demonstrates deep knowledge of the Hadoop Ecosystem
  • Experienced exposure to Hadoop ecosystem including but not limited to: HDFS, MapReduce, Spark, Sqoop, Oozie, Kafka, Hive
  • Object oriented programming concepts
  • Expert SQL skills
  • Experience in SDLC and best practices for development
  • Ability to work against mid-level design documentation, take it to a low-level design, and deliver a solution that meets the success criteria
  • Knowledge of packaging and promotion practices for maintaining code in development, test, and production


Desired Job Skills:

  • Development Experience using Apache NiFi
  • Experience with Jira & Bitbucket


Shift:
1st shift (United States of America)
Hours Per Week:
40

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What are Bank of America Perks + Benefits

Culture
Volunteer in local community
Partners with nonprofits
Open door policy
OKR operational model
Team based strategic planning
Pair programming
Open office floor plan
Remote work program
Diversity
Documented equal pay policy
Dedicated diversity and inclusion staff
Highly diverse management team
Mandated unconscious bias training
Diversity manifesto
Mean gender pay gap below 10%
Diversity employee resource groups
Hiring practices that promote diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Pet insurance
Wellness programs
Team workouts
Mental health benefits
Financial & Retirement
401(K)
401(K) matching
Company equity
Performance bonus
Charitable contribution matching
Child Care & Parental Leave Benefits
Childcare benefits
Generous parental leave
Family medical leave
Adoption Assistance
Restricted work hours
Return-to-work program post parental leave
Company sponsored family events
Vacation & Time Off Benefits
Generous PTO
Paid volunteer time
Sabbatical
Paid holidays
Paid sick days
Office Perks
Commuter benefits
Company-sponsored outings
Onsite office parking
Recreational clubs
Relocation assistance
Fitness stipend
Home-office stipend for remote employees
Onsite gym
Professional Development Benefits
Job training & conferences
Tuition reimbursement
Lunch and learns
Promote from within
Mentorship program
Continuing education stipend
Continuing education available during work hours
Online course subscriptions available
Customized development tracks
Paid industry certifications

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