Pay Range: $60 – $70/hr. The pay rate may differ depending on your skills, education, experience, and other qualifications.

Featured Benefits:

• Medical Insurance in compliance with the ACA.
• 401(k).
• Sick leave in compliance with applicable state, federal, and local laws.

Job Description:

Education: Bachelor’s degree or equivalent years of experience

Qualification: This role should be good in Snowflake Development, Matillion and Qliksense reports.

Interpersonal skills:

• Excellent interpersonal skills and the ability to present technical and conceptual information in a concise manner to the stakeholders from senior management to junior staff.
• Proactively solves problems and seeks to own the resolution of issues throughout their lifecycle.
• Takes critical feedback in stride and adjusts approaches accordingly.
• Acts as a point of help and excellent customer service.

Technical skills:

• Proven expertise in engineering data at any level of maturity (i.e. from raw to integrated to curated) in a data warehouse environment.
• Expert ability to detect patterns in data and to apply best practices to the design of appropriate database architecture, schemas, and constraints within an enterprise data warehouse environment.
• Proven expertise of data governance dependencies on an enterprise analytics platform, including data quality, metadata management, and data catalog.
• Solid knowledge of a modern data analytics tool stack that includes its administration and integration with other technologies, including schedulers (e.g. Tidal).
• Hands-on experience of working with multiple data ingestion patterns, (e.g. ETL, ELT, streaming, Change Data Capture (CDC), micro-batches, and data wrangling).
• Working knowledge of cloud-native approaches to data warehousing, including raw data storage, scalable data stores, elastic compute, and support for multiple marts.
• Hands on experience in moving data from SQL and Oracle databases into Cloud.
• Experience with various data integration methods including APIs.
• Good understanding of process cataloguing (e.g. Bitbucket).
• Experience with logical and physical data modeling with an industry-standard tool (e.g. Erwin).
• Experience with multiple data analysis patterns and relevant tools (e.g. canned reporting, visualization, and dashboards).
• Good understanding of information security and data privacy concepts (e.g. PII tokenization and sensitive data masking)
• Experience with agile (e.g. scrum, Kanban) and DevOps practices is a plus.
• Familiarity with the needs of data science / modeling use cases and relevant tools (e.g. Python, R) is a plus.

Experience:

• 7-10 years in a variety of data-centric development roles
• 10 years of experience in solving technical issues
• 4-7 years of experience in a customer-facing capacity (internal or external)
• Experience on the business/usage of data analytics is not required but is a plus

Credentials: Data development-oriented certifications are not required but are a plus (e.g. Snowflake SnowPro, AWS Certified Big Data Specialist)