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Analytics Engineer

72% Flex

Remote:

Full Remote

Work from:

United States

Offer summary

Qualifications:

Experience with SQL, Python, data warehouses, Knowledge of dimensional data modeling.

Key responsabilities:

Collaborate and design precise data models
Optimize performance capabilities of data warehouse

Veriff Scaleup https://www.veriff.com/

201 - 500 Employees

See more Veriff offers

Job description

Your missions

Veriff both generates and consumes significant amounts of data, which drives business decisions at every level. As an Analytics Engineer on the Data Engineering team, you'll work closely with stakeholders to understand the processes they want to measure and create scalable, efficient models for them. You'll be the expert in optimizing query performance in the data warehouse and the authority on data modeling best practices. Your role will be crucial in unlocking the potential of our data by developing pipelines that prepare raw data for analysis by data analysts, data scientists, and business stakeholders. You’ll have the chance to work with large, complex data sets and significantly influence the evolution of our analytics engineering processes and standards.

You’ll help us protect honest people online by:

Collaborating with business stakeholders and analysts to design, document, and implement precise data models
Optimizing complex queries to fully utilize the performance capabilities of our data warehouse
Ensuring data and report integrity by implementing quality checks and establishing data model standards
Enabling data analysts and data scientists to extract maximum value from our data

You are the right future Veriffian for the job if you have:

Experience with SQL, columnar databases, and data warehouses (e.g., Redshift, Snowflake, Synapse, or BigQuery)
Strong Python skills
Experience with data transformation and orchestration frameworks (e.g.,dbt, Airflow, Luigi, Prefect)
A deep understanding of dimensional data modeling

You’re an especially awesome match if you have:

Experience working with data from various sources (RDMS, APIs, files) in different formats (JSON, Avro, Parquet)
Experience with big data processing frameworks such as Apache Spark, Apache Beam, Apache Flink, or similar

Why Veriff?

We are the preferred identity verification platform partner for the world’s most innovative growth-driven organizations helping conveniently verify and safeguard users anywhere in the world. We support the broadest number of identity documents from nearly every country and territory in the world - and this is continually increasing! With a diverse team and offices in the United States, United Kingdom, Spain, and Estonia, as well as robust backing and funding from investors including Accel, Alkeon, IVP, Tiger Capital, and Y Combinator, we’re dedicated to helping businesses and individuals build a safer and more secure world. We strive to be the benchmark for trust online, and we take pride in being a positive force.

When you join Team Veriff, we offer you the opportunity to have a real impact and advance your career, while looking after you along the way with a range of benefits designed with you in mind. Some of our favorites include...

Flexibility to work from home
7 extra recharge days per year on top of your annual vacation days
Stock options that ensure you share in our success
Private health insurance coverage to ensure you’re feeling great physically and mentally
Learning and Development and Health & Sports budgets that you are free to tailor to your own needs

We are an Equal Opportunities employer committed to a diverse and representative team. Different opinions, perspectives and personalities push us forward. We want to hear from people who are passionate about their work and align with our values. Regardless of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability. We also know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates - so rest assured, whoever you are, we want to hear from you!

Please be informed that in the final stage of the recruitment process we may request you to go through identity verification. For more information, please see Recruitment Privacy Policy.

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