Agility Partners LLC
Jr. Data Engineer - Python/AWS Company Hidden Finance OH Contract-to-Hire Develo
Agility Partners LLC, Charleston, West Virginia, United States,
Agility Partners is seeking qualified applicants to fill an open Junior Data Engineer position with one of our Banking clients. In this dynamic role, you will be optimizing data pipelines, proficient in Python, SQL, and experienced with AWS cloud services including S3, Glue, Athena, and Lambda.Responsibilities
Design, develop, and optimize data processing pipelines and workflows.Implement and manage data solutions using AWS services (S3, Glue, Athena, Lambda).Perform data wrangling and exploration to support business needs.Develop and maintain robust ETL processes.Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.Provide production support, identify and automate areas of improvement.Benefits and Perks
This is a great opportunity to work for a mid-sized financial institution that is striving to be the bank of choice; one that focuses on its customers, not its competition. An organization that provides a dynamic, fulfilling work environment that is productive, collaborative, and innovative.Highly visible team with a regional financial services company where your work matters and your accomplishments are recognized!Amazing opportunity for growth, healthy work/life balance, and a community-focused environment.Working for an organization that focuses on company culture, inclusion, and diversity.On a team whose core values include: Can-Do Attitude, Service at Heart, and Forward Thinking.50% medical coverage for you and your entire family.401(k).Life Insurance.Disability coverage.The Ideal Candidate
The ideal candidate would bring the following:1-2 years of data engineering experience.Strong background in optimizing data pipelines, proficient in Python, SQL, and experienced with AWS cloud services including S3, Glue, Athena, and Lambda.Skilled in data wrangling, data exploration, and developing robust ETL processes.Possess strong scripting and automation skills, along with expertise in version control with Git.Proactively embrace emerging technologies to streamline workloads and enhance operational efficiency.Nice to have: Snowflake, SQL Server, Machine Learning experience.
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Design, develop, and optimize data processing pipelines and workflows.Implement and manage data solutions using AWS services (S3, Glue, Athena, Lambda).Perform data wrangling and exploration to support business needs.Develop and maintain robust ETL processes.Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.Provide production support, identify and automate areas of improvement.Benefits and Perks
This is a great opportunity to work for a mid-sized financial institution that is striving to be the bank of choice; one that focuses on its customers, not its competition. An organization that provides a dynamic, fulfilling work environment that is productive, collaborative, and innovative.Highly visible team with a regional financial services company where your work matters and your accomplishments are recognized!Amazing opportunity for growth, healthy work/life balance, and a community-focused environment.Working for an organization that focuses on company culture, inclusion, and diversity.On a team whose core values include: Can-Do Attitude, Service at Heart, and Forward Thinking.50% medical coverage for you and your entire family.401(k).Life Insurance.Disability coverage.The Ideal Candidate
The ideal candidate would bring the following:1-2 years of data engineering experience.Strong background in optimizing data pipelines, proficient in Python, SQL, and experienced with AWS cloud services including S3, Glue, Athena, and Lambda.Skilled in data wrangling, data exploration, and developing robust ETL processes.Possess strong scripting and automation skills, along with expertise in version control with Git.Proactively embrace emerging technologies to streamline workloads and enhance operational efficiency.Nice to have: Snowflake, SQL Server, Machine Learning experience.
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