Data Engineering Analyst t500-12146
2 weeks ago
ABOUT EVERNORTH:
Evernorth exists to elevate health for all, because we believe health is the starting point for human potential and progress.
we solve the problems others don't, won't or can't.
Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders.
We are passionate about making healthcare better by delivering world-class solutions that make a real difference.We are always looking upward.
And that starts with finding the right talent to help us get there.
Role Title:
Software Engineering Senior Analyst
Position Summary:
S.
E Advisor demonstrates expertise in data engineering technologies with the focus on engineering, innovation, strategic influence and product mindset.
This individual will act as key contributor of the team to design, build, test and deliver large-scale software applications, systems, platforms, services or technologies in the data engineering space.
This individual will have the opportunity to work directly with partner IT and business teams, owning and driving major deliverables across all aspects of software delivery.
The candidate will play a key role in automating the processes on Databricks and AWS.They collaborate with business and technology partners in gathering requirements, develop and implement.
The individual must have strong analytical and technical skills coupled with the ability to positively influence on delivery of data engineering products.
The applicant will be working in a team that demands innovation, cloud-first, self-service-first, and automation-first mindset coupled with technical excellence.
The applicant will be working with internal and external stakeholders and customers for building solutions as part of Enterprise Data Engineering and will need to demonstrate very strong technical and communication skills.
Job Description & Responsibilities:
The candidate will be responsible to deliver business needs end to end from requirements to development into production.
Through hands-on engineering approach in Databricks environment, this individual will deliver data engineering toolchains, platform capabilities and reusable patterns.
The applicant will be responsible to follow software engineering best practices with an automation first approach and continuous learning and improvement mindset.
The applicant will ensure adherence to enterprise architecture direction and architectural standards.The applicant should be able to collaborate in a high-performing team environment, and an ability to influence and be influenced by others.
Experience Required:
Total 3 years of experience in software engineering, building data engineering pipelines, middleware and API development and automation
Around 3 years of experience in Databricks / Hadoop OR experience with Py Spark / Scala will work
Cloud Tech experience – Azure, AWS (preferred), PCF
Primary Skills:
Expertise in Big data technologies such as Spark, Hadoop, Databricks,
Good understanding of Kafka, Kafka Streams, Spark Structured streaming, configuration-driven data transformation and curation
Experience in multi-cloud software-as-a-service products such as Databricks
Experience in Infrastructure-as-Code (Ia C) tools such as terraform and AWS Cloud Formation
Experience in API and microservices stack such as Spring Boot, Quarkus,
Expertise in Cloud technologies such as AWS Glue, Lambda, S3, Elastic Search, API Gateway, Cloud Front
Experience with one or more of the following programming and scripting languages – Python, Scala, JVM-based languages, or Java Script, and ability to pick up new languages
Strong expertise with source code management and its best practices
Experience Desired:
Expertise in Agile software development principles and patterns
Expertise in building streaming, batch and event-driven architectures and data pipelines
Additional Skills:
Ability to perform detailed analysis of business problems and technical environments
Strong oral and written communication skills
Ability to think strategically, implement iteratively and estimate financial impact of design/architecture alternatives
Continuous focus on an on-going learning and development
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