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Cigna Medical Group
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Software Engineering Senior Advisor

Software Engineering Senior Advisor

Cigna Medical Group

13 - 16 years

40 - 45 Lacs

Hyderabad

Posted:3 days ago| Platform:

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Skills Required

Automation Enterprise architecture Javascript Agile Unit testing Apache Senior Advisor Middleware Information technology Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

The job profile for this position is Software Engineering Senior Advisor, which is a Band 4 Contributor Career Track Role.

Excited to grow your career?

We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our success. Join our dynamic team as a Data Engineering Senior Advisor, where youll leverage your expertise in cutting-edge technologies to drive innovation and strategic influence. As a key contributor, youll design, build, test, and deliver large-scale software applications and platforms, collaborating closely with IT and business teams to own and drive major deliverables. Youll automate processes using Databricks and Azure, and work in a team that values innovation, cloud-first, self-service-first, and automation-first mindsets.

Youll need to demonstrate strong analytical and technical skills to positively influence data engineering product delivery. Engage with internal and external stakeholders to build solutions as part of Enterprise Data Engineering. Your proven domain expertise and exceptional problem-solving skills will be crucial in understanding technical concepts, addressing business issues, and breaking down large problems into manageable ones.

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.

Qualifications

Required Skills:

Cloud-based security principles and protocols like OAuth2, JWT, data encryption, hashing data, secret management, etc.
Expertise in Big data technologies such as Spark, Hadoop, Databricks, Snowflake, EMR, Azure Data Factory
Good understanding of Kafka, Kafka Streams, Spark Structured streaming, configuration-driven data transformation and curation
Expertise in building cloud-native microservices, containers, Kubernetes and platform-as-a-service technologies such as OpenShift, CloudFoundry
Experience in multi-cloud software-as-a-service products such as Databricks, Snowflake
Experience in Infrastructure-as-Code (IaC) tools such as terraform
Experience in messaging systems such as Apache ActiveMQ, WebSphere MQ, Apache Artemis, Kafka, Azure Service Bus
Experience in API and microservices stack such as Spring Boot, Quarkus,
Expertise in Cloud technologies such as Azure Data Factory, Lambda, S3, Elastic Search, API Gateway, CloudFront
Experience with one or more of the following programming and scripting languages Python, Scala, JVM-based languages, or JavaScript, and ability to pick up new languages
Experience in building CI/CD pipelines using Jenkins, Github Actions, Azure DevOps
Strong expertise with source code management and its best practices
Proficient in self-testing of applications, unit testing and use of mock frameworks, test-driven development (TDD)
Knowledge on Behavioral Driven Development (BDD) approach
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
Expertise in Agile software development principles and patterns
Expertise in building streaming, batch and event-driven architectures and data pipelines

Required Experience & Education:

13-16 years of experience in software engineering, building data engineering pipelines, middleware and API development and automation
More than 3 years of experience in Databricks within an Azure environment

Location & Hours of Work

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Software Engineering Senior Advisor