RRemoteville
Capital Technology Group logoCapital Technology Group

Data Engineer

Skills
Computer ScienceComplex SystemsDatabasesGlueJava DevelopmentORCOptimization
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor's degree in Computer Science Engineering or a related technical field
  • 4+ years of professional experience in data engineering or related domains
  • Hands-on experience with Databricks Apache Spark Python SQL PostgreSQL and dbt
  • Experience designing and maintaining AWS-native data platforms using Glue EMR MWAA Lambda Step Functions S3 Redshift RDS DMS and CloudWatch
  • Experience developing scalable data pipelines workflow orchestration and data integration solutions
  • Experience with Apache Iceberg and data formats such as Parquet ORC and Avro
  • Experience with relational and NoSQL databases including PostgreSQL Redshift Oracle GraphDB and other NoSQL platforms
  • Experience building reliable high-performance data platforms through tuning optimization and enterprise-scale ETL/ELT architectures
  • Java development and modern CI/CD practices using Harness
  • Strong analytical and problem-solving skills
  • Experience working in agile iterative software development environments
  • Ability to quickly learn and apply new technologies and domain knowledge
  • Excellent written and verbal communication skills

Nice to have

  • Strategic
  • Collaborative
  • Proactive
  • Adaptable
  • Communicative

Day to day

  • Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Python Spark Databricks dbt SQL and AWS Glue
  • Develop high-performance AWS-native data platforms and orchestration workflows across Glue EMR MWAA Lambda Step Functions S3 Redshift RDS DMS and CloudWatch
  • Modernize legacy data systems and collaborate with cross-functional teams to deliver secure compliant mission-critical analytics solutions in an Agile environment