Hadoop Developer

About the role

Data solution delivery team is looking for an experienced Senior Hadoop Developer.

Responsibilities

• Ability to grasp the 'big picture' for a solution by considering all potential options in impacted area.
• Aptitude to understand and adapt to newer technologies.
• Ability to work with team mates in a collaborative manner to achieve a mission.
• Experience in query optimization, performance tuning of complex SQL queries.
• Benchmark and debug critical issues with algorithms and software as they arise.
• Previous experience in the financial services industry.
• Broad BofA technical experience and good understanding of existing testing/operational processes and an open mind on how to enhance those.
• Understanding of industry trends and relevant application technologies.
• Experience in designing and implementing analytical environments and business intelligence solutions.
• Possess excellent analytical capabilities, get a deep understanding of the data and build correlation between various data elements/objects.
• Support the ingestion process using big data tools and frameworks.

Requirements

• Bachelor's degree in a technical or business-related field or equivalent working experience.
• 4+ years of experience in data warehousing architectural approaches.
• Minimum of 4 years in big data (Cloudera).
• Sound understanding and experience with Hadoop ecosystem (Cloudera).
• Able to understand and explore the constantly evolving tools within Hadoop ecosystem and apply them appropriately to relevant problems.
• Experience working with a Big Data implementation in production environment.
• Experience with Big Data technologies like Hadoop, Hive, Spark, Python, Scala, etc.
• Experience in Python and Unix shell scripting.
• Experience with scheduling tool like Autosys.
• Understanding of Agile methodologies and technologies.
• Sound knowledge of relational databases (SQL) and experience with large SQL‑based systems.
• Exposure to and strong working knowledge of distributed systems.
• Excellent understanding of client‑service models and customer orientation in service delivery.
• In‑depth knowledge of Hadoop technologies, SQL and ETL processes.

Skills

• Hadoop
• Hive
• Spark
• Python
• Scala
• Unix shell scripting
• Autosys
• SQL
• ETL processes
• Agile methodologies
• Distributed systems

Benefits

• Discretionary Annual Incentive
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support: Maternal & Parental Leaves
• Insurance Options: Auto & Home Insurance, Identity Theft Protection