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Senior Data Analyst / Data Engineer
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Job Description
Data Engineering: Design, build, and optimize robust ETL/ELT data pipelines from multiple data sources. Architecture & Storage: Maintain cloud data warehouses (e. g. , Snowflake, BigQuery, Redshift) and data lakes. Data Quality: Implement data governance, validation checks, and error-handling routines.
Advanced Analytics: Query large datasets using complex SQL and Python to extract business value. Visualization & Reporting: Create automated dashboards and BI reports (Tableau, Power BI) for stakeholders.
Requirements
Experience: 4 to 6+ years of combined experience in data engineering and advanced data analysis. Programming: Advanced SQL, Python, or Scala. Big Data & Cloud: Experience with AWS, GCP, or Azure; familiarity with Spark or Hadoop. BI Tools: Expertise in Power BI or Tableau. Orchestration: Hands-on practice with tools like Airflow or dbt. Education: Degree in Computer Science, Engineering, Statistics
Required Skills
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