Senior Big Data Engineer

Job Description

Our Enterprise Data & Analytics (EDA) is looking for an experienced Senior Data Engineer to join our growing analytics engineering team. We are a globally distributed remote first team. Youâll work in a collaborative Agile environment using the latest engineering best practices with involvement in all aspects of the software development lifecycle. You will craft and develop curated data products, applying standard architectural & data modeling  practices . You will be primarily developing Data Warehouse Solutions in BigQuery/Snowflake using technologies such as dbt, Airflow, Terraform.

What you get to do every single day:

• Collaborate with team members and business partners to collect business requirements, define successful analytics outcomes and design data models

• Use and mentor on best engineering practices such as version control system, CI/CD, code review, pair programming

• Design, build, and maintain ELT pipelines in Enterprise Data Warehouse to ensure reliable business reporting

• Design & build ELT based data models using SQL &  dbt

• Build analytics solutions that provide practical insights into customer 360, finance, product, sales and other key business domains

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery

• Work with data and analytics experts to strive for greater functionality in our data systems

What you bring to the role:

• 5+ years of data / analytics engineering experience building, working & maintaining data pipelines & ETL processes on big data environments

• Production experience working with dbt and designing and implementing Data Warehouse solutions

• Good Knowledge in modern as well as classic Data Modeling - Kimball, Innmon, etc 

• Intermediate experience with any of the programming language: Python, Go, Java, Scala, we use primarily Python

• Advanced working SQL knowledge and experience working with Cloud columnar databases (Google BigQuery, Amazon Redshift, Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases

• Integration with 3rd party API SaaS applications like Salesforce, Zuora, etc

• Familiarity with processes supporting data transformation, data structures, metadata, dependency and workload management

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Preferred Qualifications

• Extensive experience with Bigquery or similar cloud warehouses (Snowflake, Redshift)

• Demonstrated experience in one or many business domains

• 3+ completed projects with dbt

• Expert knowledge in python

What does our data stack looks like:

• ELT (Bigquery, dbt, Airflow, Kafka)

• BI (Tableau, Google Data Studio)

• Infrastructure (GCP, AWS, Kubernetes, Terraform, Github Actions)

#LI-BP1

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

The Poland annualized base salary range for this position is zÅ198,000.00-zÅ340,000.00. Please note that while the salary range represents the minimum and maximum base salary rate for this position, the actual compensation offered will be based on job related capabilities, applicable experience, and other relevant factors. This position may also be eligible for bonus, benefits, or related incentives that will be communicated during the offer stage.

Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.

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