Data Engineer data warehouse Azure Data Factory SQL
Data Engineer data warehouse Azure Data Factory SQL
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
100% TELECOMMUTE
Interview Process: 3 rounds via video. Highly technical.
Project: As a member of the Optum Data Management team the Data Engineer supports the Alabama EDS by developing and maintaining workflows identifying and resolving data quality issues and optimizing processes to improve performance. The Data Engineer will also support intrastate agencies by monitoring automated data extracts and working directly with state partners to create new extracts based on business specifications.
Responsibilities:
- Develop and manage effective working relationships with other departments groups and personnel with whom work must be coordinated or interfaced
- Efficiently communicate with ETL architect while understanding the requirements and business process knowledge in order to transform the data in a way thats geared towards the needs of end users
- Assist in the overall architecture of the ETL Design and proactively provide inputs in designing implementing and automating the ETL flows
- Investigate and mine data to identify potential issues within ETL pipelines notify endusers and propose adequate solutions
- Developing ETL pipelines and data flows in and out of the data warehouse using a combination of Azure Data Factory and Snowflake toolsets
- Developing idempotent ETL process design so that interrupted incomplete or failed processes can be rerun without errors using ADF dataflows and Pipelines
- Ability to work in Snowflake Virtual Warehouses as needed in Snowflake and automate data pipelines using Snowpipe for tedious ETL problems
- Capturing changes in data dimensions and maintaining versions of them using Stream sets in snowflake and scheduling them using Tasks
- Optimize every step of the data movement not only limited to source and during travel but also when its at rest in the database for accelerated responses
- Must have the ability to build a highly efficient orchestrator that can schedule jobs execute workflows perform Data quality checks and coordinate dependencies among tasks
- Responsible for testing of ETL system code data design and pipelines and data flows. Root cause analysis on all processes and resolving production issues are also a part of the process and routine tests on databases and data flow and pipeline testing
- Responsible for documenting the implementations and test cases as well as responsible for building deployment documents needed for CI/CD
Ideal Background: Data Engineer with Healthcare (Medicaid) and Microsoft Azure based experience with Snowflake and Azure Data Factory
Top 3 Requirements:
- 5 years of Data engineering experience with a focus on Data Warehousing
- 2 years of experience creating pipelines in Azure Data Factory (ADF)
- 3 years of experience creating stored procedures with Oracle PL/SQL SQL Server TSQL or Snowflake SQL
Required:
- 5 years of Data engineering experience with a focus on Data Warehousing
- 2 years of experience creating pipelines in Azure Data Factory (ADF)
- 5 years developing ETL using Informatica PowerCenter SSIS Azure Data Factory or similar tools.
- 5 years of experience with Relational Databases such as Oracle Snowflake SQL Server etc.
- 3 years of experience creating stored procedures with Oracle PL/SQL SQL Server TSQL or Snowflake SQL
- 2 years of experience with GitHub SVN or similar source control systems
- 2 years of experience processing structured and unstructured data.
- Experience with HL7 and FHIR standards and processing files in these formats.
- 3 years analyzing project requirements and developing detailed specifications for ETL requirements.
- Excellent problemsolving and analytical skills with the ability to troubleshoot and optimize data pipelines.
- Ability to adapt to evolving technologies and changing business requirements.
- Bachelors or Advanced Degree in a related field such as Information Technology/Computer Science Mathematics/Statistics Analytics Business
Preferred:
- 2 years of batch or PowerShell scripting
- 2 years of experience with Python scripting.
- 3 years of data modeling experience in a data warehouse environment
- Experience or familiarity with Informatica Intelligent Cloud Services (specifically Data Integration)
- Experience designing and building APIs in Snowflake and ADF (e.g. REST RPC)
- Experience with State Medicaid / Medicare / Healthcare applications Azure certifications related to data engineering or data analytics.
Required Skills : ETL
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
Employment Type
Full Time
