Description

You will design and implement data pipelines and architectures within an AWS environment.

Responsibilities

• Analyze, model, and wrangle data and files for downstream utilization.
• Build data pipelines to move data into Redshift.
• Write Python or Spark scripts to generate data extracts.
• Create Redshift views to expose data to Tableau.
• Conduct working sessions with customers and partners to define and validate requirements.
• Develop deployment models to provision and implement defined services.
• Advise on and implement AWS best practices.

Required Skills

• 6+ years of SQL experience.
• Hands-on data engineering experience with AWS Cloud.
• Proficiency in AWS services including EC2, S3, Lambda, Glue, Data Pipeline, Firehose, Athena, and Kinesis.
• Deep knowledge of Redshift.
• Senior-level Python and/or Spark and JSON skills.
• Experience with Data architecture, Data governance, Data quality, and Data Security.
• Strong analytical and communication skills.
• Bachelor’s Degree in Computer Science, Computer Engineering, or a closely related field.

Preferred Skills

• Knowledge of Docker, SNS, and CloudWatch.
• Experience with BI technologies like Tableau, OBIEE, QlikView, or Microsoft BI.
• Experience with Enterprise Modelling and Enterprise Reporting Solutions.

Key Skills

Education

Any Graduate