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Senior Data Engineer
GreatAmerica Financial Services. Work with the product owner and data stakeholders to understand business requirements and implement optimal data solutions .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing data pipelines, ensuring data quality and integrity, and utilizing ETL/ELT tools for data integration. Proficient in SQL and programming languages, with a strong focus on collaboration and agile methodologies.
Highest-signal resume keywords
Data Warehousing Design & ImplementationETL Processes SupportSQL ProficiencyCloud-Based Warehouse ExperienceInformatica Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentData Quality AssuranceETL/ELT ToolsSQLC#PythonJavaData IntegrationData Management AutomationStatistical Concepts
Soft Skills
Excellent CommunicationInterpersonal SkillsAttention to DetailCustomer Service OrientationCollaboration
Tools & Technologies
SnowflakeAzure Synapse AnalyticsInformaticaSalesforceEpicorMuleSoft
Industry Keywords
Agile Development MethodologiesData QualityData IntegrityData Mart ApplicationsData Architecture
Tech Stack
Tools & technologiesAzureCloudETLInformaticaJavaPythonSnowflakeSQL
About the role
Key responsibilities & impact- Work with the product owner and data stakeholders to understand business requirements and implement optimal data solutions
- Develop and operate data pipelines that cleanse, structure, and integrate data from source systems and third-party data structures for analysis and reporting
- Design and implement frameworks to continuously monitor and troubleshoot data quality and data integrity issues
- Design and provide guidance on reliable, efficient, scalable, and quality data pipelines with monitoring and alert mechanisms
- Use ETL/ELT tools or scripting languages to combine a variety of data sources
- Automate common and tedious data preparation and integration tasks using modern tools, techniques, and architectures
- Assist with renovating data management infrastructure to drive automation in data integration and management
- Collaborate with information technology resources regarding source system data structures and changes
- Actively collaborate in an agile team
- Provide technical guidance and thought leadership
Requirements
What you’ll need- Bachelor’s degree in computer science, information systems or equivalent experience
- 7+ years hands-on experience with Data Warehousing design & implementation
- Experience with a cloud-based warehouse (e.g., Snowflake or Azure Synapse Analytics) is a plus
- 7+ years hands-on experience supporting high performing ETL processes, including data quality and testing processes
- Experience with Informatica is a strong plus
- 7+ years of strong experience with SQL and ability to write efficient code for high volume data processing
- 3+ years programming experience with an advanced language (C#, Python, Java, etc.)
- Experience with data integration of third-party systems (e.g., Salesforce, Epicor, MuleSoft, etc.)
- Experience ensuring data quality across multiple datasets used for analytical purposes
- Experience in agile development methodologies
- Exposure and experience with a diverse set of modern data architectures is a plus
- Excellent communication (oral and written) and interpersonal skills with a keen sense of customer service
- Enthusiastic attention to detail
- Knowledge of statistical concepts and their application in reporting and data mart applications
- Ability to acquire new skills quickly and thrive in a collaborative team environment
- Must be able to establish and maintain professional working relationships with all levels of GreatAmerica personnel and external contacts
- Applicants must be authorized to work for any employer in the U.S.
- GreatAmerica is unable to sponsor or take over sponsorship of an employment visa
Benefits
Comp & perks- Competitive Compensation
- Monthly Bonuses for Eligible Employees
- 401(k) and Company Match
- Annual Profit Sharing
- Paid Time Off
- Paid Vacation
- Paid Sick Days
- Paid Holidays
- Gym Reimbursement
- Health Insurance
- Dental Insurance
- Vision Insurance
- Short-Term and Long-Term Disability
- Company Paid Life Insurance
- Flexible Spending Accounts (FSA)
- Health Savings Accounts (HSA)
- Employee Assistance Program
- Parental Leave
- Tuition Assistance
- Networking Opportunities
- Leadership Development Opportunities
- Paid Parking
- Service Awards
- Hybrid work arrangements
- Business casual environment