Python, SQL and Databricks Engineer:
About the Role We are seeking a proactive Data Engineer / Analytics Specialist with 3+ years of hands-on experience to design, build and maintain data pipelines, perform advanced analysis, and deliver actionable insights that drive business decisions.
Key Responsibilitie
- sDesign, develop and maintain scalable data pipelines and ETL processes
- .Extract, transform and load data from multiple sources using SQL and scripting languages
- .Perform statistical analysis and build models using Python and/or R
- .Develop interactive dashboards and visualizations (Power BI, Looker, Databricks, or similar) to communicate insights
- .Ensure data quality, accuracy and consistency; implement validation and monitoring
- .Troubleshoot data issues, identify root causes and propose solutions
- .Translate complex datasets into clear, actionable recommendations for stakeholders
- .Present findings and technical concepts to both technical and non-technical audiences
- .Collaborate with cross-functional teams and work independently as required
.Required Qualifications & Skill
- sMinimum 3+ years of experience in data engineering, analytics or related roles
- .Strong programming skills in Python and/or R
- .Advanced proficiency in SQL for data extraction and manipulation
- .Experience with data visualization and analytics platforms (Power BI, Looker, Databricks, etc.)
- .Solid understanding of statistical methods and their application to real-world problems
- .High attention to detail and a commitment to data accuracy
- .Proactive problem-solver with strong analytical thinking
- .Excellent written and verbal communication skills
- .Ability to work independently and collaboratively within teams
.Desirabl
- eExperience with cloud data platforms (AWS/GCP/Azure)
- .Familiarity with data warehousing concepts and tools
- .Knowledge of containerization or orchestration (Docker, Kubernetes)
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