Job description

About the Role

We're looking for a Data Engineer to join a growing team working on modern data platforms. You will play a key role in designing, developing, and maintaining scalable data pipelines and infrastructure to support data analytics and reporting initiatives. This is a great opportunity to work with cutting-edge cloud and big data technologies.

Key Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines

• Work with structured and unstructured data from diverse sources

• Optimize data workflows for performance, reliability, and cost

• Implement data quality checks and monitoring

• Collaborate with analysts, architects, and other engineers to support data needs

• Build data integrations with internal and third-party APIs

• Support cloud data infrastructure and automation

Requirements

• 3+ years of experience as a Data Engineer or similar role

• Strong knowledge of SQL and data modeling principles

• Experience with Python or Scala for data processing

• Hands-on experience with cloud platforms (ideally AWS, but Azure/GCP also valuable)

• Familiarity with tools like Apache Spark, Airflow, Kafka, or similar

• Experience with data lakes, data warehouses, or lakehouse architectures

• Git and CI/CD workflows

• Strong problem-solving skills and ability to work independently

Nice to Have

• Experience with Snowflake, Redshift, or BigQuery

• Familiarity with dbt, Terraform, or other IAC tools

• Background in data governance or security

• Experience with real-time data processing (e.g., Flink, Kinesis)

• Exposure to ML pipelines or MLOps