Combine your technical expertise and problem-solving passion to work closely with clients, turning complex ideas into end-to-end solutions that transform our clients’ business
Translate clients requirements to system design and develop a solution that delivers business value
Lead, design, develop and deliver large-scale data systems, data processing and data transformation projects
Automate data platform operations and manage the post-production system and processes
Conduct technical feasibility assessments and provide project estimates for the design and development of the solution
Mentor, help and grow junior team members
Qualifications
Demonstrable experience in enterprise level data platforms involving implementation of end to end data pipelines
Good communication and willingness to work as a team
Hands-on experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure or Google Cloud)
Experience with column-oriented database technologies (ie Big Query, Redshift, Vertica), NoSQL database technologies (ie DynamoDB, BigTable, Cosmos DB, etc.) and traditional database systems (ie SQL Server, Oracle, MySQL)
Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
Ability to handle multiple responsibilities simultaneously in leadership and contributing to tasks hands-on
Understanding of data modeling, warehouse design and fact/dimension concepts
Additional Information
Set Yourself Apart With:
Developer certifications for any of the cloud services like AWS, Google Cloud or Azure
Understanding of development and project methodologies
Willingness to travel
Challenging Today. Reinventing Tomorrow. We’re invested in you and your success. Everything we do is more than just a project....
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