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Careers at Slalom

Data Engineer
JO-1903-4851
New York
No

Slalom is a purpose-driven consulting firm that helps companies solve business problems and build for the future, with solutions spanning business advisory, customer experience, technology, and analytics. We partner with companies to push the boundaries of what’s possible—together.


Founded in 2001 and headquartered in Seattle, WA, Slalom has organically grown to nearly 6,000 employees. We were named one of Fortune’s 100 Best Companies to Work For in 2018 and are regularly recognized by our employees as a best place to work. You can find us in 28 cities across the U.S., U.K., and Canada.


Job Title:

Data Engineer


Data is served to hundreds of our clients and their customers. There is a big demand for analytics and data-freshness, so if you are not afraid of complex business problems, and you think traditional tools are slow, and you won’t stop looking for new approaches and technologies, then we have a position for you!


As a Data Engineer, you should have the expertise in the design, creation, management, and business use of large data sets to drive practical insights. You know and love working with analytics tools and can use your technical skills and creative approaches to help clients solve their most critical business challenges. This individual will be an integral part of New York’s Data and Analytics Practice and, in addition to working with clients, collaborate closely with members of the Slalom team who are focused on data visualization, advanced analytics, data science, and data strategy.


Responsibilities:


  • Collaborate with engineers and business customers to understand data needs, capture requirements and deliver complete BI solutions
  • Conduct and support white-boarding sessions, workshops, design sessions, and project meetings as needed, playing a key role in client relations
  • Design and build data extraction, transformation, and loading processes by writing custom data pipelines using either cloud native services (AWS/GCP/Azure) or using open source tools (like Airflow and Python)
  • Design, implement, and support an Enterprise Data platform (Data Lake, Data Warehouse, etc.) that can provide ad-hoc access to large scale structured, semi-structured, and/or unstructured datasets
  • Experience with both traditional (i.e. SSIS, Informatica, Talend) and modern (i.e. Dell Boomi) data integration iPaaS technologies
  • Highly self-motivated to deliver both independently and with strong team collaboration
  • Ability to creatively take on new challenges and work outside comfort zone
  • Strong written and oral communications along with presentation and interpersonal skills
  • Deliver transformative solutions to clients that are aligned to industry best practices and provide thought leadership in data architecture and engineering space


Qualifications:


  • 5+ years of experience in using SQL and databases in a business environment
  • 5+ years of experience in custom ETL/ELT design, implementation, and maintenance
  • 3+ years of experience with schema design and data modeling
  • 3+ years of experience applying data architecture or engineering to solve real-world business problems
  • 2+ years of experience with building integration and ingestion frameworks leveraging API based tools and platforms (i.e. Dell Boomi)
  • Manipulating/mining data from database tables (i.e. SQL Server, Redshift, Oracle)
  • SQL, ETL/ELT optimization, and analytics tools experience (i.e. R, HiveQL)
  • Prior implementation experience in building both batch and real-time/near real-time data ingestion frameworks using technologies like Kafka, AWS Kinesis etc.    


Nice to have:


  • Implementation experience with various technologies under Hadoop eco-system (HDFS, Hive, HBase, Sqoop, Pig, Presto etc.) and Spark (PySpark preferred)
  • Experience with designing digital data platforms leveraging clickstream data from Adobe Analytics (Omniture/SiteCatalyst) or Google Analytics
  • Experience in languages such as Python and Spark
  • Experience working in Agile Scrum teams
  • Linux and Windows proficiency
  • Management consulting experience
  • Project management experience
  • Experience working with various verticals (i.e. insurance, retail, healthcare, financial services, technology)



Slalom Is An Equal Opportunity Employer And All Qualified Applicants Will Receive Consideration For Employment Without Regard To Race, Color, Religion, Sex, National Origin, Disability Status, Protected Veteran Status, Or Any Other Characteristic Protected By Law.

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