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. Youll 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 modelsUse and mentor on best engineering practices such as version control system, CI/CD, code review, pair programmingDesign, build, and maintain ELT pipelines in Enterprise Data Warehouse to ensure reliable business reportingDesign & build ELT based data models using SQL & dbtBuild analytics solutions that provide practical insights into customer 360, finance, product, sales and other key business domainsIdentify, design, and implement internal process improvements: automating manual processes, optimizing data deliveryWork with data and analytics experts to strive for greater functionality in our data systems
What you bring to the role:
Basic Qualifications
5+ years of data / analytics engineering experience building, working & maintaining data pipelines & ETL processes on big data environmentsProduction experience working with dbt and designing and implementing Data Warehouse solutionsGood Knowledge in modern as well as classic Data Modeling - Kimball, Innmon, etcIntermediate experience with any of the programming language: Python, Go, Java, Scala, we use primarily PythonAdvanced 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 databasesIntegration with 3rd party API SaaS applications like Salesforce, Zuora, etcFamiliarity with processes supporting data transformation, data structures, metadata, dependency and workload managementExperience 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 domains3+ completed projects with dbtExpert 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)
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The Poland annualized base salary range for this position is zł198,000.00-zł340,000.00. 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.
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