Senior Data Engineer
Goddard
full-time
Posted on:
Location Type: Remote
Location: Pennsylvania • United States
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Job Level
About the role
- Responsible for integrating, analyzing raw data, developing, and maintaining datasets and improving data quality and efficiency.
- Develops and maintains scalable data pipelines, integration tools and builds out new API integrations to support continuing increases in data usage, volume, and complexity.
- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
- Designs data integrations, data quality framework and integrate it with monitoring services.
- Strong hands on capabilities across integration toolsets including ADF, Replication, CDC etc.
- Integrate data from different SOR’s, combine raw information and create resulting models ready for consumption.
- Interpret trends and patterns.
- Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, DB, SQL, and data pipelines performance tuning, optimizing data delivery, and automating manual processes.
- Build solution prototypes as needed and write algorithms against data.
- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
- Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
- Works closely with a team of frontend and backend engineers, product managers, and analysts.
Requirements
- Bachelor's degree in data analytics or similar field.
- Hands-on 7+ years' experience with SQL, Data integration, Data analysis, Data Modelling, and design
- 4+ years of Python, NodeJs or Java development experience
- 4+ years of experience with schema design and dimensional data modeling
- Experience in technology platforms across Microsoft Azure, Cloud Computing, Software as a Services (SaaS), Integration Platform as a Service (IPaaS), Infrastructure as a Service (IaaS)
- Previous experience as a data engineer or in a similar role
- Technical expertise with data models, data mining, and segmentation techniques
- Experience working and implementing solutions with Microservices Architecture
- Experience working with Data warehousing and Data Lake solutions.
- Demonstrated ability to instrument Data Quality & Management standards and processes.
- 4+ years working with data integration and ETL tools, such as Azure Data Factory, CDC, Replication, Talend, Informatica etc.
- Strong problem-solving and analytical skills
Benefits
- Employee-friendly perks and benefits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonNodeJsJavaData integrationData analysisData modelingETLData qualityData warehousing
Soft Skills
problem-solvinganalytical skillscollaborationcommunication
Certifications
Bachelor's degree in data analytics