Sr/Architect Data Engineer - AWS

Job Description

The Senior Data Engineer has the following responsibilities and duties:

• Be a member of the technical staff building solutions for the business.
• Design, implementation, testing, debugging, performance tuning, documentation, validation, and support of analytical solutions
• Translate business requirements into analytical solutions.
• Analyze, model and wrangle data and files to prep for utilization.
• Build data pipelines to move data into S3 and Redshift

Requirements

The Senior Data Engineer should have the following skills, education and experience:

Skills

Required:

• Excellent SQL and Python skills
• Experience with distributed computing languages (Spark, PySpark, Scala, SparklyR, etc)
• ETL/ELT hands-on experience with familiarity of Data Warehouse concepts
• Expertise in designing efficient Data Models
• Experience with Data Warehousing (Redshift, Snowflake, etc.)
• Knowledge of AWS services like EC2, EMR, Lambda, Glue, Athena, Kinesis Data Streams, Kinesis Firehose, etc.
• Knowledge of API-based integration and security (Restful and SOAP)
• Knowledge of IAM roles, Policies, etc.
• Experience in Data Visualization tools such as Tableau, Power BI etc.
• Ability to learn fast and translate data into actionable results.
• Excellent written and communication skills.

Preferred:

• Experience developing and supporting scalable data pipelines
• Experience with Snowflake
• Experience building cloud formation templates for workloads
• Familiar with EKS and ECS AWS services
• Solid Linux programming skills
• Experience building Data Platforms, Data lakes and Business Intelligence solutions.

Education
Bachelors in computer science, engineering, information technology or other related disciplines.