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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and optimize large-scale data engineering solutions and pipelines for batch and real-time streaming data.
Collaborate across Agile teams to deliver high-quality, scalable data platforms supporting enterprise data needs and business intelligence.
Ensure data quality, security, and automation in data engineering workflows, including monitoring and troubleshooting data issues.
Minimum Requirements
Bachelor’s degree in Computer Science, Computer Engineering, or relevant field.
4+ years experience for Data Engineer level; 7+ years for Senior Data Engineer in data engineering solution design and building.
Proficient in Python, PySpark, advanced SQL, and experience with distributed processing frameworks like Apache Hadoop, Spark, or Flink.
Experience with AWS data services (S3, EC2, EMR, Lambda, RDS, DynamoDB, Redshift, Glue) and data warehouses/platforms such as Redshift or Snowflake.
Ideal Candidate Profile
Experienced in building highly optimized, scalable data pipelines for batch and real-time workloads in a data-driven enterprise environment.
Strong ability to translate business requirements into technical designs and collaborate effectively with cross-functional teams in Agile settings.
Demonstrated expertise with data platform technologies, dimensional modeling, data quality controls, and automation of data workflows.