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Full Time / Information Technology / Temporary Remote Python Data Analyst Jobs
Power BI Developer
requirements Assist in designing scalable data models and optimizing report performance Implement security measures and integrate external data sources while maintaining dataflows Required Qualifications Bachelor's Degree Active Microsoft PL-300 Power BI Data...Analyst Associate certification 1-3 years of experience in building reports using Power BI Desktop Demonstrated SQL development experience Strong understanding of DAX and Power Query for data transformation
Senior Data Engineer
integrity and troubleshoot issues Required Qualifications Bachelor's or master's degree in computer science, engineering, or a related field 7+ years of experience in data engineering, focusing on Databricks and Apache Spark Expert proficiency in Python...and strong understanding of data structures and algorithms Deep expertise in SQL and experience with complex analytical queries Hands-on experience with the Databricks ecosystem, including Delta Lake and Data frame APIs
Data Warehouse Analyst
A company is looking for a Data Warehouse Analyst to ensure the stability, performance, and reliability of warehouse management systems.
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Senior Data Engineer
FastAPI, and PostgreSQL Develop and evolve AI-powered applications utilizing APIs and open-source tools Contribute to content intelligence platforms and maintain user data stores for personalized experiences Required Qualifications Experience as a Python...backend engineer or data engineer Comfortable working in cloud-native environments, ideally with FastAPI Fluent in SQL and experienced with cloud data warehouses or relational databases Interest in applying generative AI and LLM tooling to real-world
Senior Data Engineer
accuracy, completeness, and consistency Required Qualifications: 5+ years of professional experience in data engineering or a related field Bachelor's degree in Computer Science, Engineering, or a related technical field Proficiency in Spark and Python...for large-scale data processing Strong understanding of distributed systems, data modeling, and ETL processes Hands-on experience with cloud-based data warehousing solutions (e.g., Snowflake, AWS Redshift, Teradata)
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