Data Engineer (ADF, Orchestration, Data Flows, Snowflake) | REMOTE
Data Engineer (ADF, Orchestration, Data Flows, Snowflake) | REMOTE
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Salary Not Disclosed
1 Vacancy
Job Description
- 10Years of IT experience
- Background candidates should ideally have come from SSIS /SQL transitioning to Azure Data Factory (Data Integration) Snowflake (Source and Target End Point)
- Azure has a lot of components to it such as Fabric DataBricks ADF Pyspark
- They need candidates that can use ADF as both orchestration and integration
- many candidates claim to have ADF but for orchestration really just use Pyspark to trigger the jobs through ADF
- They need to be advanced at Building the Integration through data flows logic as well
100% Telecommute
Work Hours: 9am5pm CST
Project:
- As a member of the 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 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 : Data Analysis
Basic Qualification :
Additional Skills :
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No
Employment Type
Full Time
