Principal Consultant - AWS+ Snowflake

About the job Principal Consultant - AWS+ Snowflake Role: Principal Consultant - AWS+ Snowflake Location: Beaverton, Oregon, United States Relocation Assistance Available: No Interview Travel Reimbursed: No Compensation: USD $110,000 to $130,000 Experience: 7+ to 10 years Seniority Level: Mid-Senior Minimum Education: Bachelor's Degree Willingness to Travel: Never Security Clearance Required: No Visa Candidate Considered: No On-site role: Yes Industry: Retail / Wholesale - Other Job Category: Information Technology - Computer Network Security Job type: Full-time Responsibilities Design and build reusable components, frameworks, and libraries at scale to support analytics products. Design and implement product features in collaboration with business and technology stakeholders. Identify and solve issues concerning data management to improve data quality. Clean, prepare and optimize data for ingestion and consumption. Collaborate on the implementation of new data management projects and restructure of the current data architecture. Implement automated workflows and routines using workflow scheduling tools. Build continuous integration, test-driven development, and production deployment frameworks. Analyze and profile data for designing scalable solutions. Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues. Requirements Strong understanding of data structures and algorithms. Strong understanding of solution and technical design; strong problem solving and analytical mindset. Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders. Able to quickly pick up new programming languages, technologies, and frameworks. Experience building cloud scalable, real-time and high-performance data lake solutions. Fair understanding of developing complex data solutions; experience working on end-to-end solution design. Willing to learn new skills and technologies. Has a passion for data solutions. Required and Preferred Skill Sets Hands-on experience in AWS – EMR [Hive, Pyspark], S3, Athena or equivalent cloud. Familiarity with Spark Structured Streaming. Minimum experience working with Hadoop stack dealing with huge volumes of data in a scalable fashion. Hands-on experience with SQL, ETL, data transformation and analytics functions; hands-on Python experience including batch scripting, data manipulation, distributable packages. Experience working with batch orchestration tools such as Apache Airflow; preferred knowledge of Airflow. Experience with code versioning tools such as GitHub or BitBucket; expert-level understanding of repo design and best practices. Familiarity with deployment automation tools such as Jenkins. Hands-on experience designing and building ETL pipelines; expert with data ingest, change data capture, data quality; hand-on experience with API development. Designing and developing relational database objects; knowledge of logical and physical data modelling concepts; some experience with Snowflake. Familiarity with Tableau or Cognos use cases. Familiarity with Agile; working experience preferred. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors including but not limited to the applicant’s experience, knowledge, skills, abilities, geographic location, and internal considerations. #J-18808-Ljbffr RZS Recruitment