Company Description: Apexon is a digital-first technology services firm backed by Goldman Sachs Asset Management and Everstone Capital. We specialize in accelerating business transformation and delivering human-centric digital experiences. For over 17 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.
About the Data Engineer Role
As a Data Engineer with ETL/ELT background, the candidate needs to design and develop reusable data ingestion processes from variety of sources and build data pipelines for Synapse Azure cloud data warehouse platform and reporting processes.
Design, develop & implement ETL processes on Azure Cloud using Databricks and Azure Synapse
Advanced SQL knowledge, capable to write optimized queries for faster data work flows.
Must be extremely well versed with handling large volume data and work using different tools to derive the required solution.
Work with offshore team, business analysts and other data engineering teams to ensure alignment of requirements, methodologies and best practices
Bachelor's Degree or master’s degree in Computer Science.
7+ years of hands-on software engineering experience.
Proven hands-on experience in Big Data technologies, especially in Spark, Scala, Databricks.
Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS
Strong database fundamentals including SQL, performance and schema design.
Understanding of CI/CD framework is an added advantage.
Ability to interpret/write custom shell scripts. Python scripting is a plus.
Experience with Azure platform and Synapse
Experience with Git / Azure DevOps
To be able to work in a fast-paced agile development environment.
If this role sounds like you, we invite you to apply. Our recruiting team will be in touch shortly with qualified candidates regarding next steps.