採用
Required Skills
SQL
Teradata
Python
Databricks
Apache Spark
HIH - Software Engineering Associate Advisor:
Join the team that manages the end-to-end technology and life cycle management of the applications hosted both on premises and in the AWS cloud.
We are looking for an experienced Software Engineer with 8 to 10 years of experience to join the Data and Analytics Engineering (D&AE) operational effectiveness team. The Associate advisor will be responsible for managing and optimizing the data pipelines for the corporate data warehouse hosted on the Teradata platform. The ideal candidate will have a strong technical background and experience in creating & managing complex data queries and pipelines.
Key Responsibilities:
- Design, develop, and maintain ETL processes to integrate data from Teradata into Databricks on AWS cloud
- Optimize and fine-tune Teradata queries, database structures, and data loading strategies to ensure high performance and scalability.
- Create and maintain data mappings, workflows, and sessions in Informatica for data extraction, transformation, and loading.
- Collaborate with data architects, analysts and stewards to define the data requirements and ensure the availability and accuracy of the data for business users
- Monitor and troubleshoot data pipelines, resolving issues related to data integrity, performance, and job failures
- Develop and implement data validations and quality checks to ensure the accuracy and reliability of the data warehouse
- Document technical specifications, processes, and workflows related to Teradata and Informatica development
- Assist in capacity planning, performance tuning and security management
- Partner with other teams and stake holders for any clarifications needed for the timely deliverables.
- Ability to provide alternative solutions.
- Experienced with agile methodology.
Qualifications:
- Bachelor’s degree in the related field.
- 8 years of experience in developer role.
- 6 years of hands-on experience with Teradata database development, including query optimization.
- Strong knowledge of SQL and proficiency in writing complex queries, stored procedures, and macros in Teradata
- 4 years of experience with Databricks with focus on distributed data processing frameworks like Apache Spark
- Experience with AWS services such as S3, Glue, Lambda, Airflow and EC2 for building and managing data infrastructures
- Familiarity with Python for data engineering tasks in Databricks
- Experience with data warehousing concepts
- Ability to handle large datasets and optimize ETL performance for data loading and transformation
- Experience with data pipeline scheduling
- Experience with continuous integration and continuous delivery (CI/CD) tools like GitHub, Jenkins etc.
- Excellent problem-solving skills and attention to details
- Strong communication and collaboration skills
About Evernorth Health Services
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
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About Cigna

Cigna
PublicThe Cigna Group is an American multinational for-profit managed healthcare and insurance company based in Bloomfield, Connecticut.
10,001+
Employees
Bloomfield
Headquarters
Reviews
3.0
9 reviews
Work Life Balance
3.8
Compensation
2.5
Culture
2.8
Career
2.2
Management
2.0
35%
Recommend to a Friend
Pros
Remote work flexibility and work from home options
Good work-life balance
Great people and teamwork
Cons
Poor management and micro-controlling leadership
Frequent layoffs and job instability
Limited career advancement opportunities
Salary Ranges
18 data points
L2
L3
L4
L5
L6
L2 · Financial Analyst L2
0 reports
$74,750
total / year
Base
$29,900
Stock
$37,375
Bonus
$7,475
$52,325
$97,175
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Offer Rate
50%
Experience
Positive 50%
Neutral 0%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Team Member Interviews
5
Panel/Multiple Interviews
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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