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 Dev Ops 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:

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