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Senior Data Engineer / Analyst
Sales ConsultingSenior Data Engineer/Analyst role building data pipelines, REST integrations, and dashboards for a leading investment bank. Focus on impactful, collaborative projects in a dynamic environment.
Tech Stack
Tools & technologiesETLPandasPythonSQL
About the role
Key responsibilities & impact- Develop REST API integrations and data pipelines for ingestion and transformation
- Build and maintain data processing solutions using Python (Pandas, Jupyter)
- Store and manage data in MS SQL databases
- Develop interactive dashboards and data visualizations using Streamlit and Plotly
- Deploy solutions using CI/CD pipelines and containerization (Podman, VHS environment)
Requirements
What you’ll need- Strong Python and SQL (MS SQL) experience
- Experience with data transformation and ETL processes
- Knowledge of REST APIs and data integration
- Proven expertise in data visualization and application development using tools such as Streamlit and Plotly
- Familiarity with CI/CD and container environments
- Strong data analysis and problem-solving mindset
- Ability to communicate effectively with both technical and non-technical stakeholders
- Structured thinking and attention to detail
Benefits
Comp & perks- Opportunity to work in a highly professional environment
- Reason to be part of a success story
- Opportunities for personal and professional development via technical, business-related or soft skills training
- Encouragement of creative-thinking in an open-minded work environment
- Positive team environment where professional teams are also friends
- Dynamic and engaging work atmosphere for active individuals
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLData TransformationETL ProcessesREST APIsData VisualizationStreamlitPlotlyData AnalysisProblem-Solving
Soft Skills
Effective CommunicationStructured ThinkingAttention to Detail