Data Engineering (BJ-12851)

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Job Description:

Data Engineer
Grade: 8/9

Must Skills Required -
AWS Stack (Redshift, S3, Glue, Athena)
Tableau
Must have experience of Data Engineering within finance business domains, ideally within insurance - understanding of finance business processes, sales, revenue, P&L, payments, etc
If you are an extraordinary developer and who loves to push the boundaries to solve
complex business problems using creative solutions, then we wish to talk with you. As an
Analytics Technology Engineer, you will work on the Technology team that helps deliver our
Data Engineering offerings at large scale to our Fortune clients worldwide. The role is
responsible for innovating, building, and maintaining technology services.

RESPONSIBILITIES:
• Passion for educating, training, designing, and building end-to-end systems for a
diverse and challenging set of customers to success
• Characteristics of a forward thinker and self-starter that flourishes with new
challenges and adapts quickly to learning new knowledge
• Ability to work with a global team of consulting professionals across multiple projects
• Knack for helping an organization to understand application architectures and
integration approaches, to architect advanced cloud-based solutions, and to help
launch the build-out of those system
QUALIFICATIONS:
REQUIRED QUALIFICATIONS:
• 2-5 years of hands-on experience on the AWS Services, especially AWS Glue
• Strong hands-on experience in AWS Glue, automation build-out, integration with
other AWS services, using SPARK
• Hands-on administrating skill required with AWS Managed Kafka configuration for
creating topics, consumer and producer control
• Need to review and decompose the existing Java application to be replaced with either
a Mule service built by the Mule squad, or Lambda service in Python within the
Operational Data squad. Ideally suited to someone who has worked on Java
development in past
• Working experience with: AWS Athena and Glue Pyspark, EMR, DynamoDB, AWS S3,
Redshift, Kinesis, Lambda, Apache Spark, Databricks on AWS, Snowflake on AWS
• Work across all phases of SDLC, and use Software Engineering principles to build
scaled solutions
• Be an integral part of large-scale client business development and delivery
engagements

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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