• A Bachelor’s degree from an accredited university.
• 3+ years, hands-on experience in data engineering; prior experience in the financial services industry is a plus but not mandatory. Bonus points if you have experience with banks and insurers!
• Proven skills in building and managing data solutions using on-premises technologies or Cloud platforms.
• Familiarity with core Cloud Data Services, including Glue, Redshift, S3, Lambda, EMR, Athena, Microsoft Fabric, or Databricks.
• Knowledge of big data technologies such as Apache Spark, Hadoop, or Kafka.
• Proficiency in programming languages like Python (with Pandas) and SQL.
• Experience working with relational databases like AWS RDS, MS SQL, Azure SQL DB, or Postgres.
• Solid understanding of data modeling, ETL processes, and data warehousing.
• Experience with Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform, or Azure ARM/Bicep.
• Familiarity with CI/CD tools to streamline software development and delivery.
• Excellent communication, problem-solving, and analytical skills, with the ability to present complex technical concepts clearly and concisely.
• Relevant Cloud certifications are a plus, showcasing your commitment to professional development and mastery of Cloud services and best practices.
• Strong desire to learn and enhance business knowledge.

If you’re ready to embark on a data-driven adventure and elevate your career to new heights, apply now and let’s revolutionize the world of data together!