AWS Data Engineer

Responsibilities

• Analyze, model and wrangle data and files to prep for utilization.
• Build data pipelines to move data into Redshift.
• Write python or spark scripts to provide extracts.
• Create views in Redshift to expose data to Tableau.
• Conduct working sessions with customer and partner resources to define and validate solution requirements.
• Develop deployment model or approach to provision and implement defined services.
• Advise and implement AWS best practices.

Required Skills

• Good knowledge of AWS services like EC2, S3, lambda, glue, data pipes, firehose, athena, kinesis etc.
• Equal or better knowledge of Redshift.
• Senior knowledge of Python and/or spark and JSON.
• Other skills that might be useful are knowledge of dockers, SNS, cloudwatch.
• Good Communication & Analytical Skills.

Required Experience

• Hands-on data engineering experience with AWS Cloud.
• Experience with Data architecture, Data governance, Data quality, Data Security.
• Experience in BI technologies like Tableau, OBIEE, QlikView, Microsoft BI is a plus.
• Experience with Enterprise Modelling, Enterprise Reporting Solutions.
• Expertise in SQL is a must – Minimum 6 yrs of SQL exp is desired.

Education Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.