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Senior Data Engineer

Senior Data Engineer

Talent Worx

1 years

8 - 22 Lacs

hyderabad telangana india

Posted:1 month ago| Platform:

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Skills Required

data healthcare technology retention network analytics integrity optimization credentialing design model maintenance support database workflow etl sql code test resolve analysis audit integration deployment azure devops git engineering programming server indexes aws architecture software reporting power analyze drive agile processing mapping communication logical management certification learning networking

Work Mode

On-site

Job Type

Full Time

Job Description

one of the leading healthcare technology Product organizations with $1.4 Billion revenue with year-on-year growth of 22% and client retention rate of 120%. we offer wide range of innovative solutions to the healthcare payers, providers, and consumers. Our services include network analytics, payment integrity and optimization, provider credentialing, and provider engagement.

Requirements

Design, develop and implement scalable batch/real time data pipelines (ETLs) to integrate data from a variety of sources into Data Warehouse and Data Lake
Design and implement data model changes that align with warehouse dimensional modeling standards
Proficient in Data Lake, Data Warehouse Concepts and Dimensional Data Model
Responsible for maintenance and support of all database environments, design and develop data pipelines, workflow, ETL solutions on both on-prem and cloud-based environments
Design and develop SQL stored procedures, functions, views, and triggers
Design, code, test, document and troubleshoot deliverables
Collaborate with others to test and resolve issues with deliverables
Maintain awareness of and ensure adherence to Zelis standards regarding privacy
Create and maintain design documents, source to target mappings, unit test cases, data seeding
Ability to perform data analysis and data quality tests and create audit for the ETLs
Perform continuous integration and deployment using Azure DevOps and Git

Requirements:

1+ years working with a cloud-based ETL tool (DBT preferred)
3+ years Microsoft ETL experience with SSIS
3+ Years data engineering experience to include data analysis.
3+ years programming SQL objects (procedures, triggers, views, functions) in SQL Server.
3+ years of experience optimizing SQL queries
Advanced understanding of T-SQL, indexes, stored procedures, triggers, functions, views, etc.
3+ Years designing and implementing dimensional Data Warehouse
Working Knowledge of Azure/AWS Architecture, Data Lake
2+ Years of experience using source control software, such as, Git and Azure DevOps, etc
2+ years of experience working with a reporting software, such as, SSRS, Power BI, etc

Preferred Skills:

1+ years designing and developing Azure Data Factory Pipelines
1+ years of Cloud data warehouse experience using Snowflake
2+ Years of experience working with a ticketing system, such as Jira
Business analysis experience to analyze data to write code and drive solutions
Working knowledge of Agile and Confluence
Healthcare and/or Payment processing experience

Independence/ Accountability:

Must be detail oriented
Requires minimal daily supervision.
Should be team-oriented and be able to collaborate across teams
Receives detailed instruction on new assignments and determines next steps with guidance
Regularly reviews goals and objectives with supervisor
Demonstrates competence in relevant job responsibilities which allows for increasing level of independence
Ability to manage and prioritize multiple tasks
Ability to work under pressure and meet deadlines

Problem Solving:

Must demonstrate good analytical skills as it relates to data identification and mapping and excellent oral communication skills.
Makes logical suggestions of likely causes of problems and independently suggests solutions
Excellent organizational skills are required to prioritize responsibilities, thus completing work in a timely fashion
Outstanding ability to multiplex tasks as required
Excellent project management and/or business analysis skills
Attention to detail and concern for impact is essential

Benefits

Insurance Coverage
Paid Leaves - including maternity and paternity
Financial assistance for medical crisis
Customized Mindfulness and Wellness programs
Hybrid Work Model
Certification trainings for technical and soft skills
Access to unlimited LinkedIn Learning platform
Community networking and idea creation platforms
Mentorship programs
Self-driven career progression tool

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Senior Data Engineer