Senior Data Engineer/Analyst

Senior Data Engineer/Analyst - 3 Year Contract Qualifications & Experience: Must-Have: Bachelors or Masters degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. 5+ years of experience in data engineering, analytics, or BI development. Strong proficiency in SQL and Python for data manipulation and transformation. Experience with ETL/ELT processes, data modeling, and data warehousing concepts. Expertise in cloud platforms (AWS, Azure, or GCP) and big data tools (Spark, Snowflake, Databricks, Kafka). Familiarity with data visualization tools (Power BI, Tableau, Looker). Nice-to-Have: Experience with AI/ML model deployment for predictive analytics. Knowledge of DevOps for data (CI/CD, Infrastructure-as-Code). Certifications in AWS Data Analytics, Azure Data Engineer, or Google Cloud Professional Data Engineer. Responsibilities: Data Engineering & Architecture: Design, develop, and maintain scalable and efficient ETL pipelines for data ingestion, transformation, and storage. Build and optimize data warehouses, data lakes, and real-time streaming solutions to support business intelligence and analytics needs. Ensure data quality, integrity, and security across all data processing workflows. Collaborate with Data Scientists, Analysts, and Software Engineers to design data models that enable advanced analytics. Implement data governance, cataloging, and lineage tracking to ensure transparency and compliance. Data Analysis & Business Intelligence: Conduct data exploration, statistical analysis, and trend identification to extract actionable insights. Develop interactive dashboards and reports using BI tools like Power BI, Tableau, or Looker. Work closely with business teams to understand KPIs and performance metrics, translating data into valuable insights. Optimize query performance and database efficiency for large-scale data processing. Cloud & Big Data Technologies: Design and manage cloud-based data solutions (AWS, Azure, GCP) with ser