Data Engineer

AllCloud

17d • Remote

About The Position

AllCloud is a global professional services company providing organizations with cloud enablement and transformation. Through a unique combination of expertise and agility, AllCloud accelerates cloud innovation and helps organizations fully unlock the value received from cloud technology and data and analytics.

As an AWS Premier Consulting Partner and audited MSP, a Salesforce Platinum Partner and Snowflake Premier Partner, AllCloud helps clients connect their front office and back office by building a new operating model that allows them to harness the benefits of cloud technology. AllCloud is supported by a robust ecosystem of technology partners, proven methodologies, and well-documented best practices. Thereby elevating customers by achieving operational excellence on the cloud, within a secure environment, at every milestone of the journey to becoming cloud first.

With years of experience and a portfolio of thousands of successful cloud deployments, AllCloud serves clients across the globe. AllCloud has offices in Israel, Europe and North America

Are you passionate about data and delivering solutions for clients that turn data into valuable, actionable information for their business? We are hiring Data Engineers with strong experience across the entire Cloud Data stack. The ideal candidate will have extensive experience in data pipelines (ELT/ETL), data replication, data warehousing and dimensional modeling, and curation of data sets for Data Scientists and Business Intelligence users. This candidate will also have excellent problem-solving ability dealing with large volumes of data.

Requirements

• Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field. Commensurate work experience will be considered in lieu of degree
• 2+ years’ experience building scalable Cloud data solutions using MPP Data Warehouses (Snowflake, Redshift, or Azure Data Warehouse/Synapse), data storage (S3, Azure Blob Storage, Delta Lakes, or AWS Lake Formation) and analytics platforms (i.e. Spark, Databricks, etc.)
• 3+ years with complex SQL queries and scripting
• 3+ years’ experience building data pipelines via Python, Spark, or GUI Based tools
• 3+ years’ experience loading historical data to data warehouses
• 3+ years’ experience with AWS and/or Azure Cloud
• 3+ years developing, and deploying scalable enterprise data solutions (Enterprise Data Warehouses, Data Marts, ETL/ELT workloads, etc.)
• 3+ years of supporting business intelligence and analytic projects
• 2+ years’ DevOps experience
• 2+ years’ experience working in an environment with automated promotions to production
• Familiar with ETL/ELT patterns and methodologies.
• Good understanding of code repositories such as GIT
• Excellent written and oral communication skills

Nice To Haves

• Experience with a Business Intelligence tool such as Tableau, PowerBI, Sigma, etc.
• Experience working at a consulting company
• Experience with Data Vault architecture
• Matillion Associate Certification
• Snowflake SnowPro
• AWS Data & Analytics Specialty
• AWS Database Specialty
• AWS Solutions Architect Associate
• AWS Developer Associate
• AWS Glue

Responsibilities

• Building scalable Cloud data solutions using MPP Data Warehouses (Snowflake, Redshift, or Azure Data Warehouse/Synapse), data storage (S3, Azure Blob Storage, Delta Lakes, or AWS Lake Formation) and analytics platforms (i.e. Spark, Databricks, etc.)
• Creation of data pipelines and transformations
• Knowledge of ETL tools such as– Matillion, FiveTran, Informatica, Talend, SSIS, etc.
• Transformations – dbt
• Experience with elastic/open search
• Load historical data to a data warehouse
• Scripting in Python, Java Script or Shell
• Workflow Orchestrations using Apache Airflow, AWS Step Functions, etc.
• Familiarity with automated promotions, SCM tools, and CICD best practices
• Modeling and curation of data for visualization and predictive modeling users
• Design and implementation of AWS and/or Azure services such as Lambda, SNS, etc.
• Creating data integrations with scripting languages such as Python
• Writing complex SQL queries, stored procedures, etc.

Benefits

• Our team inspires progress in each other and in our customers through our relentless pursuit of excellence; you will work with leaders who promote learning and personal development.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees