We have a great opportunity for a Data Engineer to join our growing Data & Analytics team! You will be an integral part of a collaborative engineering team specializing in building modern data pipelines for our customers. 

Some responsibilities include but are not limited to the following:

• Collaborate with customers, data analysts, product managers, data architects and engineers to define requirements, design solutions and build/test/deploy robust data pipeline architectures
• Possess a deep and versatile technical and functional skill set to support end-to-end analytics across a variety of industries
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability and elasticity
• All other duties, as assigned

Skills:

• Advanced SQL skills and comfort with query engines such as Athena, PrestoDB, Snowflake, BigQuery.
• Proficiency with scripting languages (JavaScript, Python, or Ruby)
• Comfort with Linux and Windows command line functionality
• Exposure to multiple cloud providers: AWS, Azure, Google Cloud
• Knowledge of presentation tools such as ThoughtSpot, Tableau, Looker, or Power BI
• Strong analytic skills related to working with unstructured datasets
• Working knowledge of message queues, stream processing, and highly scalable ‘big data’ data stores
• Solid understanding of API and data security
• Experience working with diverse environments
• Exceptional customer relations skills to engage and service customers effectively
• Strong organizational, multi-tasking, detail-oriented and time management skills
• Consistently maintains a high attention to detail
• Works independently and collaboratively to resolve problems to ensure on time delivery
• Strong documentation skills
• Adaptability to changing priorities, as needed
• Maintains a high level of confidentiality, professionalism and a courteous demeanor

Education and Experience: 

• 5 years of experience in database and data pipeline development
• 5 years of experience with Data warehousing methodologies and modelling techniques
• 2 years of experience working in Massively Parallel Processing (MPP) Analytical Datastores such as: Netezza, Teradata
• 2 years of hands-on experience in Cloud technologies such as
  • AWS - S3, Glacier, EC2, Lambda, SQS, Redshift
  • Azure - ADLS, Virtual Machine, Functions, SQL Data warehouse
  • GCP - Cloud Storage, Compute Engine, Cloud Functions, Big Query
• Proven experience working with both cloud and on-premise DBMSs such as: Snowflake, RedShift, BigQuery, SQL Server, and Oracle
• Proven experience working with structured and semi-structured data
• Hands-on experience working with and creating RESTful web services and APIs

Competencies: 

• Self-motivated and self-directed 
• Active listener with the ability to engage customers to anticipate, identify, and solve critical problems
• Leads others through systems and technology
• Priority setting to be nimble, responsive, and results-oriented
• Customer focus with strong interpersonal skills
• Strong independent problem-solving skills
• Knowledgeable of best practices, with the ability to convey to non-practitioners
• Champions modern, disciplined development process (agile, source control, testing, CI/CD)
• Ability and willingness to give and receive honest, balanced feedback
• Independently and proactively communicates issues, priorities, and objectives