About AllCloud

AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation.

AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth.

AllCloud serves clients across the globe with offices in EMEA and North America.

Job Summary

AllCloud is hiring a Data Engineer to help migrate systems to the cloud, optimize databases and data pipelines, and enhance data flows with AI/ML. The role involves designing new systems, improving existing architectures, and collaborating with architects, PMs, and data scientists. Ideal candidates are hands-on with large-scale data, experienced in cloud technologies, and self-driven, fast learners comfortable supporting multiple teams and projects.

Working Schedule: 10 AM - 7 PM (Eastern European Standard Time)

Summary of Key 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, JavaScript 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.

Must-Have Skills & Experience

• 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
• 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.)
• Complex SQL queries and scripting
• Experience building data pipelines via Python, Spark, or GUI Based tools
• Experience loading historical data to data warehouses
• Experience with AWS
• Developing, and deploying scalable enterprise data solutions (Enterprise Data Warehouses, Data Marts, ETL/ELT workloads, etc.)
• Supporting business intelligence and analytic projects
• DevOps experience (Networking, IaC - Terraform, CDK)
• 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

Advantages:

• Ability to integrate and leverage Large Language Models (LLMs).
• Knowledge of RAG (Retrieval-Augmented Generation) frameworks.
• Experience with ML models for classification, scoring, and predictive analytics.
• Experience with Deep Learning Neural Networks, including Convolutional and NLP models.
• Experience with a Business Intelligence tool such as Tableau, PowerBI, Sigma, etc.
• Experience working at a consulting company
• Experience with Data Vault architecture
• Any speciality certifications

Why work for us?

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. We offer competitive salaries, bonus incentives, benefits, flexible hours, and mentoring. Apply now to become part of the team.

AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, provincial, or local law.

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