Cloud Data Engineer

About us:

• We are international Multi-Cloud experts, utilizing the power of the cloud for smart digital transformation. With 5 sites over 4 continents around the globe, +450 experts, +1000 customers, and +30 years of proven experience, our mission is to deliver the best Multi-Cloud service to our customers, accelerate their business and help them grow. As tech-savvies, To help our customers stay on top of their game, our teams are constantly developing new strategies and tools that will help them improve cloud performance, spending, visibility, control, and automation. Our cloud experts will make any digital transformation a quick, smart, and easy process

What We Are Looking For

We're looking for a Cloud Data Engineer to join our cloud development team. Your primary role will be to help design, build, and optimize data solutions for our clients. You'll work with large datasets, leveraging the latest cloud technologies to build robust data pipelines and analytics platforms. You take ownership of your work, are a great communicator, and thrive in environments with changing requirements.

Our team includes network architects, cloud architects, software developers, and security engineers. You will have the chance to gain significant real-world experience and work on high-impact projects. We also provide many opportunities for growth and will cover costs of relevant education and certification.

Due to regulatory requirements, only candidates located in the US will be considered for this position. This is a fully remote role.

What You'll Do:

• Architect and develop data pipelines for batch processing, streaming, and event processing

• Build and manage data lakes/lakehouses

• Implement and optimize data warehousing solutions

• Collaborate with data analysts, scientists, and clients to understand requirements

• Implement data governance, security, and compliance controls

• Contribute to planning new data architectures and evaluating emerging technologies

Relevant Skills:

Batch Processing and Data Processing

• Distributed frameworks: Apache Spark, Databricks, Flink, Ray

• Programming: Python, Scala, Java

Streaming and Event Processing

• Streaming platforms: Kafka, Kinesis

• Real-time data ingestion and processing

Data Warehousing and Analytics

• Cloud data warehouses: Snowflake, BigQuery, Redshift

• Databases: OLAP, OLTP

• Query engines: SQL, Presto

• ETL/ELT: AWS Glue

• Data Lakehouses: Delta Lake

Additional Skills:

• Cloud platforms: AWS, GCP, Azure

• Data governance, lineage, security

• Containerization: Docker, Kubernetes

Great to Have

• Experience with Docker, containerization, and container orchestration

• Experience building serverless applications and workflows

• Experience with Python, Node.js, JavaScript, and SQL

• Experience making infrastructure design decisions and managing client requirements

• AWS certifications

 

Benefits

• Remote-first workplace

• We offer top medical, dental, and vision insurance for you and your dependents (with options for 100% covered)

• FSA and HSA plans available

• Retirement matching (3%)

• Unlimited PTO

• Home office stipend

• Annual team get-togethers

• Modern tools to get your job done (MacBook, etc)

• Collegial workplace focused on individual growth

 

We don't expect candidates to be familiar with all relevant skills but do expect them to have comprehensive experience in the domains in question and eagerness to learn. If you geek out on data infrastructures and want to work on cutting-edge projects, we'd love to hear from you! This is a full-time position with a generous benefits package and a quarterly performance bonus. Pay for this position will be commensurate with experience.