QuEST Global is a global market leader in diversified engineering solutions and one of the global, reliable and long-term partners of numerous companies in the field of Transportation, Aerospace & Defense, Aero Engines, Industrial & Hi-Tech, Medical Devices, Oil & Gas and Power.
SHAPE THE FUTURE WITH US
We offer you a motivating environment with exciting projects and would appreciate to welcome you in our team as a
Databricks / Spark
Design and implement data applications in collaboration with product teams to drive product-led growth initiatives across the Barracuda product portfolio
Build ETL & reverse ETL pipelines to integrate with external systems to ingest and operationalize data from our customer data platform.
Including building and integrating REST APIs, web hooks etc.
Ensure integration systems are secure, compliant, efficient, and scalable. Ensure data quality
Design, implement and support infrastructure required for optimal transformation and integrations in collaboration with data scientist and ML engineers
Identify requirements and create methods to enrich data from multiple sources
Develop database schemas and organize data logically and efficiently for various ML use cases
Play a key role in adopting best practices and defining data modeling standards
Excellent Python programming skills
Advanced SQL knowledge and experience with relational and NoSQL databases
Experience with data modeling, data warehousing, and data pipelines. Experience using tools such as dbt, Airflow, Luigi etc.
Experience developing algorithms and statistical models to analyze and interpret data sets, identifying trends / patterns.
Experience with data visualization
Experience with public cloud, preferably AWS and services such as Redshift, S3, ECS, EC, Kinesis etc.
Working knowledge of message queuing and streams processing
Experience with Spark, Databricks, Hadoop and related technologies is a plus
Ability to communicate clearly and use a collaborative approach across boundaries to get work done
Powerful teams, open and friendly working atmosphere as well as flat hierarchies
Exciting projects at a high technological level
Flexible working hours / WFH (remote)
Further training and development opportunities
3 - 6