Cloud Data Engineer

Who You'll Work With

As a modernized technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds and emerging technologies.

You'll work in small teams to design and build innovative data and analytics solutions on Amazon Web Services, Azure, and Google Cloud, using core data warehousing tools, cloud data warehouses like Redshift and Snowflake, Hadoop, Spark, Event Stream platforms, and other Big Data related technologies. In addition to building the next generation of data platforms, you'll be working with some of the most forward-thinking organizations in data and analytics, across industry sectors such as retail, finance, healthcare, and high-tech.

What You'll Do

• Work with some of the latest and greatest Data Engineering tools (Snowflake, Google Cloud Platform, AWS Redshift, Matillion, Talend, Airflow, etc.)
• Be a key member of a highly collaborative agile team to work with IT and business customers to understand data needs, capture requirements, and deliver complete BI solutions
• Design and build data extraction, transformation, and loading processes by writing custom data pipelines
• Build data expertise and own data quality for allocated areas of ownership
• Work with data infrastructure to triage infrastructure issues and drive to resolution

What You'll Bring

• You know and love working with analytic tools, can write excellent SQL/Python code, and can use your technical skills and creative approaches to solve some unique problems in the BI space.
• Experience working with data management and integration technologies such as Talend, Matillion, Informatica, Azure Data Factory, Glue, and others
• Experience in implementing modern data architecture-based data warehouses along with a basic understanding of various types of data models (3NF, Dimensional, Data Vault etc.)
• Experience working with data warehouses such as Redshift, BigQuery, Snowflake and understand data architecture design

About Us

Slalom is a modern consulting firm focused on strategy, technology, and business transformation. In 40 markets around the world, Slalom'steams have autonomy to move fast and do what's right. They are backed byregional innovation hubs, a global culture of collaboration, and partnerships with the world's top technology providers. Founded in 2001 and headquartered in Seattle, Slalom has organically grown to over 12,000 employees. Slalom has been named one of Fortune's 100 Best Companies to Work For five years running and is regularly recognized byemployees as a best place to work. Learn more at slalom.com.

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include: meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer additional benefits such as a yearly $350 reimbursement account for any well-being related expenses as well as discounted home, auto, and pet insurance.

Slalom is an equal opportunity employer that is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veterans status, or any other characteristic protected by federal, state, or local laws, and will not be discriminated against on the basis of disability.

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