Cloud Data Engineer - Pyspark, Databricks, ETL @ Optum

Job Description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start  Caring. Connecting. Growing together.

   Primary Responsibilities

 

Lead the migration of the ETLs from on-premises SQLServer based data warehouse to Azure Cloud, Databricks and Snowflake

Design, develop, and implement data platform solutions using Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), Logic Apps, Azure Data Lake Storage Gen2 (ADLS Gen2), Blob Storage, and Databricks (Pyspark)

Review and analyze existing on-premises ETL processes developed in SSIS and T-SQL

Implement DevOps practices and CI/CD pipelines using GitActions

Collaborate with cross-functional teams to ensure seamless integration and data flow

Optimize and troubleshoot data pipelines and workflows

Ensure data security and compliance with industry standards

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

 Required Qualifications

 

6+ years of experience as a Cloud Data Engineer

Hands-on experience with Azure Cloud data tools (ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage) and Databricks

Solid experience in ETL development using on-premises databases and ETL technologies

Experience with Python or other scripting languages for data processing

Experience with Agile methodologies

Proficiency in DevOps and CI/CD practices using GitActions

Proven excellent problem-solving skills and ability to work independently

Proven solid communication and collaboration skills

Proven solid analytical skills and attention to detail

Proven ability to adapt to new technologies and learn quickly

 Preferred Qualifications

 

Certification in Azure or Databricks

Experience with data modeling and database design

Experience with development in Snowflake for data engineering and analytics workloads

Knowledge of data governance and data quality best practices

Familiarity with other cloud platforms (e.g., AWS, Google Cloud)

Job Classification

Industry: Retail
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Optum
Location(s): Hyderabad

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Keyskills:   continuous integration sql devops etl development etl process snowflake python azure data lake ci/cd pyspark azure data factory azure logic apps adls gen2 sql server azure cloud data bricks data modeling gcp oracle adf agile aws etl ssis