Data Analytics Engineer - Redmond, United States - Ascendion

Description

About Ascendion:

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for world's leading brands
• Solve complex problems - and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands-on experience

Experience a community of change makers

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role:

Role: Senior Analytics Engineer

As an Analytics Engineer you will be responsible to design, build, and maintain the Minecraft Analytics Environment. You will focus on delivering solutions rather than technology to realize the value of our data assets. You will support initiatives to democratize data and unlock self-serve capabilities which empower data consumers to efficiently leverage the data. To be successful, you must select, model, and prepare the best data for the solution; Utilize the data platform and cloud infrastructure to engineer the tools and technologies needed to source, process, and deliver the data; Collaborate with your Data Science colleagues and work directly with data consumers and stakeholders to understand their needs and evolve the Analytics Environment at the pace of the business to drive impactful outcomes.

Responsibilities:

• Collaborate with data consumers and stakeholders to understand their data needs.
• Identify and analyze multi-structured data from a variety of sources to assess its effectiveness and accuracy to meet analytics requirements.
• Build and maintain automated data pipelines to transform data into clean, enriched, and highly optimized polyglot data models which fulfil analytic requirements & evolve with changing needs. Use modern data engineering practices and frameworks to create scalable big data solutions for analytics and machine learning, while ensuring data quality.
• Write and maintain technical documentation for the data models and analytics solutions.
• Provide data access tools and documentation for users to unlock the value of the analytics data. Contribute to the design, development, testing and maintenance of data architectures and infrastructure.
• Provide stewardship in the creation, collection, and maintenance of metadata.
• Handle confidential information responsibly and correctly applying security and privacy policies.

Qualifications

• 3+ year working as a data engineer or equivalent on large enterprise systems
• A proven track record building and optimizing big data pipelines for analytic solutions
• Data analysis skills to identify, select and prepare quality data for analytics use cases.
• Experience building ETL/ELT processes and frameworks with Cloud Data Platforms; Azure experience preferred.
• Proficient SQL skills, and DML/DDL for different cloud database platforms.
• Strong Python skills and experience for data processing combined with a pythonic mindset. DevOps experience including feature planning, version control, multi-environment, CI/CD. Familiarity with Delta Lake.
• Familiarity with Databricks.
• Critical thinker and problem solver who approaches each situation with an open mindset

Top 3 Hard Skills Required:

• Minimum 3-5 years experience with | Python.
• Minimum 2+ years experience with SQL.
• Minimum 3-5 years experience with Data modeling.
• Minimum 5 years experience with Big data pipelines.
• Minimum 3-5 years experience with Cloud experience.

Location: Redmond, WA

Salary Range: $145,000 - $156,000 Annually - Factors that may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [09-10 days/hours of paid time off]

Want to change the world? Let us know.

Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk