Transform large data into business databases and applications for analytics and reporting
Develop and automate ETL jobs using various tools and AWS services
Collaborate with business and technical teams to ensure data quality and relevance
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or related field
One year of experience in data analysis using SQL and Spark SQL
Experience developing ETL jobs with Databricks, Jupyter, and Pyspark
Knowledge of AWS services including S3, Athena, Lambda, RDS, Glue, and EMR
Experience performing data quality checks and exploratory data analysis using PySpark
Average salary estimate
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$0K
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