Senior Data Engineer

ExlService Holdings, Inc.

Elizabeth, NJ, United States

11 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.disabledperson.com

Tech stack

Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Applications Architecture Component-Based Software Engineering Bash Shell Big Data Cloud Engineering Cloudera Impala Computer Networks Databases Data as a Services

+36 more

Data Infrastructure Extract Transform Load (ETL) Data Transformation Data Security Relational Databases Software Debugging Amazon DynamoDB Apache Hadoop Identity and Access Management Python (Programming Language) Linux System Administration Log Analysis Node.Js Windows PowerShell Prometheus Software Engineering Management of Software Versions Data Processing Sql Optimization System Availability Delivery Pipeline Grafana Apache Spark Amazon Virtual Private Cloud (VPC) Backend Git Cloudformation Amazon Relational Database Service Information Technology AWS Data Analytics Cloudwatch Terraform Splunk Data Pipelines Docker Jenkins

Job description

The person will be part of the Global Technology team for a major Insurance client. He/ She will work as a Senior Cloud Engineer within the CDO EDP team and will have the opportunity to work one-on-one with application and infrastructure developers to build and enhance the data infrastructure and application patterns that power mission-critical applications, ensuring that they’re engineered for high availability, durability, and resiliency
They will be part of an agile team that combines various backgrounds, experiences, and perspectives to solve complex problems within AWS and beyond.
The person will also be required to participate actively in brainstorming sessions for improvement opportunities and take it to completion

Requirements

A suitable candidate should have 8+ years of IT experience with at least 5+ years of experience working as an AWS Data Engineer. He/ She should be able to deal with ambiguity.
Experience in life insurance preferred but not mandatory., * Superior analytical and problem solving skills
Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision
Good communication skill for client interaction, * Strong ability to debug complex data workflows, optimize application and ETL code, and automate data transformation processes
Systematic, analytical problem?solving approach with strong ownership over data quality, performance, and delivery
Ability to quickly evaluate new AWS data and analytics services and determine fit for data pipelines or application architecture
Hands?on experience developing data workflows and infrastructure using IaC frameworks such as CloudFormation or Terraform (as needed)
Working knowledge of CI/CD pipelines primarily to support data application deployments (Jenkins, CodePipeline, etc.)
Proficient with Git for versioning data processing code, libraries, and application components
Skilled in writing production?grade code in Python, Node.js, Bash, PowerShell, or similar languages, focusing on data processing and backend development
Experience using Docker for packaging applications and data-processing workloads, with exposure to containerized data services (ECS, EKS, etc.)
Comfortable developing and troubleshooting in Linux environments
Solid understanding of key AWS data services and application primitives such as S3, EC2, Glue, EMR, Lambda, RDS, DynamoDB, CloudWatch, and VPC networking concepts
Strong knowledge of AWS security and IAM as it relates to data pipelines, encryption (KMS), secure data access (IAM roles/policies), and audit controls
Hands?on experience with ETL, distributed compute, and big data frameworks such as Spark, Glue, Hadoop/EMR, Impala, or similar tooling
Deep understanding of relational databases, SQL optimization, and application?to?database interaction patterns
Familiarity with log analytics and observability platforms (Splunk, ELK, Prometheus, Grafana) as they relate to monitoring data pipelines and applications, * Bachelor’s/Master’s degree in computer science/engineering, operations research or related analytics areas welcome to apply
8+ years’ experience in AWS Data Engineering, preferably in Life Insurance but not mandatory
Application development experience
Team Management
Superior analytical and problem solving skills
Outstanding written and verbal communication skills
Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
Can understand cross cultural differences and can work with clients across the globe

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