Sr. Data Analyst

Sr. Data Analyst

100% Telecommute

Summary :

As a member of the Optum Data Management team, the Data Engineer supports the CT EDW 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 that s 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 end-users 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 it's 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

required skills:

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 T-SQL, or Snowflake SQL.

Experience

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 T-SQL, or Snowflake SQL

2+ years of experience with GitHub, SVN, or similar source control systems

2+ years of experience processing structured and un-structured 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 problem-solving 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