1 to 6 of 6 Permanent Snowflake Jobs in the North West with Remote Work Options

Company Description Version 1 has celebrated over 26 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat more »

will have: Experience leading a Data Engineering team. Extensive working experience with GCP, SQL and DBT. Proficient in: Kafka, Dataform, Airflow, Tableau, PowerBI, Redshift, Snowflake, Terraform and BigQuery. What's in it for the successful Lead Data Engineer: Hybrid working for a better work/life balance. Joining the fastest more »

loyalty, while ensuring product development meets time, cost and quality parameters.Key Accountabilities and Responsibilities: Build and manage customer data on the analytics data platform (Snowflake)Manage the demands from business stakeholders and analytics teams - Understand the expected Business Outcomes, in order to be able to link the business demands to … of data architecture principles, data modelling and engineering techniques.Familiarity with data governance frameworks, and data security and privacy principles related to data management.Familiar with Snowflake/BigQuery or equivalent data technologies available in the market.Strong communication skills and ability to align many stakeholders towards common long-term goals.#LI-POSTSO WHY more »

to managers across the business. It is essential you have strong Power BI system. Job duties: Performing data manipulation and transformation within Azure/Snowflake/any other required data warehouse Designing and developing data solutions Governance of dataset access and controls Writing and testing processes Documenting and recording any … structural changes to Azure/Snowflake Developing and maintaining data processes, new applications and new features Implementing and maintaining database objects Maintaining and improving tools for system analysis Building/maintaining Power BI data models with requirements from other teams Identifying and building KPI’s, Milestones, etc Identifying financial thresholds more »

ll do and bring: Proficiency in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda. Hands-on experience with Snowflake, Redshift cloud data warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data pipeline. Strong programming skills in technologies like Python … Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. Understanding of data more »

willdeliver high-quality data outcomes via modern data sourcing, integration and modelling techniques. Youll gain exposure to a wide range of modern technology (e.g. Snowflake, Databricks, Spark) and be continually learning. Requirements of the Data Engineer: Strong experience with data analysis, data modelling (Kimball) and governance, with excellent analytical and … problem-solving abilities Expertise using modern data tools (SQL, Python) Snowflake and AWS experience preferred. Good knowledge of Data Warehouses, ETL pipelines Good understanding of Cloud-based environments AWS and/or Azure Good appreciation of the modern software development lifecycle, CI/CD Benefits for the Successful Data Engineer more »