Evernorth

Health Services

SoftwareEngineeringLeadAnalyst-HIH-Evernorth

Hyderabad, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Software Engineering Lead Analyst - HIH - Evernorth at Evernorth. Skills: Snowflake, AWS, Apache Spark, Apache Airflow, DBT, Kafka, Data Engineering, System Architecture. Design, develop, and optimize data pipelines using Snowflake. Build and maintain multi-layered data models”

What You'll Achieve.

Deliver innovative solutions; Deliver high-quality data engineering solutions on time and within budget; Improve health and increase vitality; Make the prediction, prevention and treatment of illness and disease more accessible

Industry & Context.

Health Services
Problems you'll solve

Problem-solving skills; Ability to troubleshoot complex issues in distributed systems

What They're Looking For.

Must Have

5-8 years of experience in Data Engineering, At least 4 years of hands-on experience with Snowflake, Experience with cloud services, preferably AWS (e.g., S3, EMR, EC2, Redshift, Athena, Lambda, Glue), experience in Big Data technologies like Spark (Python/Scala), Proficiency in Data Orchestration and Integration tools, such as Apache Airflow, Apache NiFi, DBT, or equivalent, Expertise in working with relational (e.g., SQL Server, PostgreSQL) and columnar databases (e.g., AWS Redshift, Snowflake), Hands-on experience with Kafka or equivalent streaming data systems, problem-solving skills, Proven ability to collaborate with offshore teams and coordinate across time zones, Experience with version control systems like Bitbucket or GitHub, Experience with project management tools such as Jira, familiarity in working within an Agile/Sprint model, College degree (Bachelor) in related technical/business areas or equivalent work experience

Nice to Have

Exposure to AWS, Healthcare experience, Coaching of team members, Experience with Jenkins for continuous integration and deployment (CI/CD) pipelines, Experience with Terraform for infrastructure as code (IaC) automation

What You'll Do.

and optimize data pipelines using Snowflake

Build and maintain multi-layered data models

and manage cost efficiency of Snowflake environments

and manage scalable data solutions using cloud platforms (AWS

Utilize cloud-native services for data storage

Set up and manage cloud environments for optimal performance and cost-efficiency

Lead the design and development of Big Data solutions using Apache Spark (Python/Scala)

Process petabytes of data in real-time and batch modes

Build efficient data architectures for structured and unstructured data

Develop and manage end-to-end ETL/ELT pipelines using Apache Airflow

or other equivalent orchestration tools

Automate data workflows

and ensure the reliability of data pipelines

Design and implement scalable and efficient data models

Build and manage multi-layered data models

Work with Kafka or other streaming technologies for real-time data ingestion and processing

Build and optimize stream processing solutions

Write complex SQL queries to transform and process data

Design and maintain scalable database architectures

Continuously improve the performance

and reliability of the data platform

Research and apply the latest tools and technologies in the data engineering space

How You'll Work.

Team & Collaboration

Work with cross-functional teams, including product, engineering, to develop and implement data solutions; Manage and coordinate with offshore development teams; Collaborate with offshore teams and coordinate across time zones

Process & Methodology

Working within an Agile/Sprint model, Experience with project management tools such as Jira

Full Job Description

**Position Overview** Evernorth Customer Data Platform Engineering team is looking for a Software Engineering Senior Advisor highly skilled in Data Engineering with hands-on experience working with Snowflake. The ideal candidate will have a strong background in Big Data technologies, including Apache Spark (Python or Scala), and expertise in orchestration and integration tools such as Apache Airflow or NiFi, or DBT. Experience with cloud services, preferably AWS, is essential for designing and implementing scalable data pipelines in the cloud. This role offers the opportunity to work on cutting-edge data engineering projects and collaborate with cross-regional teams to deliver innovative solutions. In this role, you will provide hands-on software engineering and system architecture leadership for our CDP teams. You will be working on several of the largest Technology initiatives for Evernorth℠ targeted at revolutionizing Health Services and Healthcare Delivery system in the United States. The focus of the work is to continue to enhance our market winning capabilities in the pharmacy and PBM space. The Evernorth℠Technology strategy is fully aligned with our business strategy, resulting in an opportunity for you to influence in various directions – this includes technology\business direction. **Responsibilities** * Snowflake Expertise: Design, develop, and optimize data pipelines using Snowflake, including building and maintaining multi-layered data models. Optimize queries, ensure performance, and manage the cost efficiency of Snowflake environments. * Cloud Experience: Extensive experience working with AWS or other cloud platforms (such as Azure or Google Cloud) to design, deploy, and manage scalable data solutions. Proficient in utilizing cloud-native services for data storage, processing, and orchestration (e.g., S3, EMR, EC2, Redshift, Athena, Lambda, Glue). Familiar with setting up and managing cloud environments for optimal performance and cost-efficiency. * Bi

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