Listing Description

Job Description

The Senior Data Engineer Consultant 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 Consultant 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 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

      Required:

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

      Preferred:

• Masters or PhD in computer science, engineering, information technology or other related disciplines. 

Experience

• An experienced professional will have at least 7 years of professional experience in a data related role with a Masters Degree or 7 years of experience in a data related role with a Bachelors degree

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