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Data engineer
1 month ago
Role Name – Data Engineer (Python) Location - Remote Experience – 2-4 years Notice period – Immediate to 15 days (max) About Fluidata - Fluidata Analytics is a modern data and analytics consultancy firm.
Our team of experts provide end-to-end data engineering and analytics solutions to clients by using cutting-edge data technology and methodologies. Key Responsibilities: Design, develop, and optimize data infrastructure and pipelines. Participate in data modeling, ETL processes, and data integration projects under the guidance of senior team members. Create visualizations and data applications for key business stakeholders Design and Develop Business intelligence Dashboards Develop, test, and maintain Python-based applications for data processing Integrate APIs to fetch and update data, ensuring seamless data flow between systems. Generate reports using Python to provide insights and support decision-making for business stakeholders. Implement and maintain data integration solutions using Python. Assist in troubleshooting, monitoring, and optimizing data systems to ensure smooth and efficient data processing. Work closely with cross-functional teams to understand data requirements and contribute to innovative solutions. Learn and apply best practices for data security, data quality, and performance optimization. Stay updated with emerging technologies and industry trends to contribute fresh perspectives and ideas. Assist in developing and delivering technical and functional presentations to the internal project team and client organizations.
Develop prototypes to demonstrate the value of data-driven technologies. Generate and manage PDF documents using Python libraries such as Report Lab, Py PDF2, or fpdf. Qualifications: • Bachelor's degree in computer science, or Information Technology, or other related degrees • Familiarity with data modeling and data architectures • Strong with SQL, Python, Airflow • Data modeling, Datawarehouse design, and data architecture • Data visualization skills in one or more tools preferred (Power BI, Tableau, Qlik etc.) • Strong problem-solving and communication skills • 2+ years of experience working with data and analytics • Knowledge of cloud data warehouses like snowflake/AWS RDS, DBT preferred. What We Offer : • Competitive compensation packages that reward high performance.
• Exciting career growth paths and a supportive culture that facilitates continuous learning.
• Collaborative team-based environment.
• Direct collaboration with the Founder and other leadership team members.
