Bachelor's or master's degree in computer science, Data Science, Engineering, Statistics, or a related field.
7+ years of industry-related experience in a data engineering, BI analyst, or Analytics engineer role.
Should have strong SQL and Python development and with hands-on experience in ETL Development and building Star Schema/Snowflake Schema's in Data Warehouse.
Proficiency in SQL and experience with relational databases.
Strong programming skills in Python, including experience with data libraries (e.g., Pandas, NumPy).
Experience with ETL tools like Workato, FiveTran, Matillion, Informatica and understanding of data integration challenges.
Experience with Data warehouse Technologies like Snowflake, Redshift, Big query.
Experience with Database tool like DBT, SQLMesh
Proficiency in business intelligence tools like Sigma, Looker, Tableau or Power BI.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Excellent communication skills and the ability to work effectively in a dynamic, collaborative team environment.
Familiarity with data warehouse technologies and concepts.
Nice to Have:
Experience with cloud platforms (AWS, Google Cloud, or Azure).
Knowledge of automation platforms like Workato.
Experience with real-time analytics and data streaming technologies (Kafka, StreamSets).