BNP Paribas Group:
Paribas Group is a leading European bank with a strong global footprint
across 72 markets and more than 202,000 employees. The Group provides
corporates, institutional and private investors with product and service
solutions tailored to their specific needs. It offers a wide range of financial
services covering corporate & institutional banking, wealth management,
asset management, insurance, as well as retail banking and consumer financing through strategic partnerships.
BNP Paribas India Solutions:
Established in 2005, BNP
Paribas India Solutions is a wholly owned subsidiary of BNP Paribas Group, a
leading bank in Europe with an international reach. With delivery centers
located in Mumbai and Chennai, we are a 24x7 global delivery center. We
partner various business lines of BNP Paribas such as Corporate and
Institutional Banking, Wealth Management, Retail Banking through three
verticals - Information Technology, Operations and Finance Shared Services.
of the West is affiliated with BNP Paribas since 1981. In 2001, holding
company BancWest Corporation became a wholly-owned subsidiary of BNP Paribas.
Today, Bank of the West has customers in all 50 states and operates more than
600 branch banking and commercial office locations in 22 states And its part
of global bank BNP Paribas.
Big data engineer
Business Line / Function:
Number of Direct Reports:
Directorship / Registration:
Bank of the West is seeking a Big
data engineer to implement Data Hub. Big data engineer will be responsible
for designing, implementing, and deploying high-performance, custom
applications at scale on Hadoop platform
Hands-on engineer with experience in On-prem Hadoop
platform, building ingestion frameworks using Apache Spark/Streaming, HDFS storage
formats, micro services.
Tenure in coding and delivering complex
projects using frameworks such as Scala, python and Spark
Deep understanding and application of modern
data processing technology stacks. For example Spark, Hadoop, Kafka, NoSQL
like Cassandra, Hbase, Orchestration tools AirFlow and others
Deep understanding of streaming data
architectures and technologies for real-time and low-latency data processing
Deep understanding of NoSQL technologies
including column family, graph, document, and key-value data storage
Previous experience in executing large-scale
big data projects.
Been part of the DevOps process to automate
the data pipelines.
Understanding of agile development methods
including: core values, guiding principles, and key agile practices
Application of Continuous
Integration/Delivery, Jenkins, GitHub, JIRA, Confluence
Experience in building Customer 360 profile in
an enterprise using open source big data technologies
& Behavioral Competencies
Qualifications (if required)
Engineering in Computer Science or related
field (Electronics, IT etc)
3-5 years of technical experience in Big data
Excellent written and verbal communication
Behavioural Skills: (Please select up to 4
deliver / Results driven
Communication skills - oral &
(Please select up to 5 skills)
understand, explain and support change
anticipate business / strategic evolution
Choose an item.
Choose an item.
Bachelor Degree or equivalent
At least 3 years
Other/Specific Qualifications (if required)