Start Date
Immediate
Expiry Date
23 Dec, 26
Salary
55000.0
Posted On
24 Sep, 26
Experience
5 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Industry
Information Technology & Services
What You'll Work On• Build and maintain production data pipelines using Python and SQL• Develop and orchestrate workflows using Apache Airflow• Build scalable analytical data infrastructure in Snowflake• Develop transformation models and workflows using dbt• Integrate data from APIs, databases, and external sources• Design reliable ingestion and transformation processes• Improve data quality, testing, and monitoring across pipelines• Optimise SQL queries and data models for performance• Build and operate data workloads on AWS• Automate repetitive data engineering processes• Troubleshoot pipeline failures and production data issues• Collaborate with Product, Analytics, and Engineering teams to make trusted data easily available
Core Skills• 3+ years in Data Engineering or a similar role• Python• SQL• Apache Airflow• Snowflake• dbt• AWS• Experience building and operating production data pipelines
Nice to HaveKafkaSparkPostgreSQLAWS S3 / Glue / LambdaTerraformDockerData-quality frameworksData observabilityCI/CD for data pipelinesDimensional modellingExperience working with environmental, energy, IoT, or geospatial datasets
How To Apply:
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What You'll Work On• Build and maintain production data pipelines using Python and SQL• Develop and orchestrate workflows using Apache Airflow• Build scalable analytical data infrastructure in Snowflake• Develop transformation models and workflows using dbt• Integrate data from APIs, databases, and external sources• Design reliable ingestion and transformation processes• Improve data quality, testing, and monitoring across pipelines• Optimise SQL queries and data models for performance• Build and operate data workloads on AWS• Automate repetitive data engineering processes• Troubleshoot pipeline failures and production data issues• Collaborate with Product, Analytics, and Engineering teams to make trusted data easily available
Core Skills• 3+ years in Data Engineering or a similar role• Python• SQL• Apache Airflow• Snowflake• dbt• AWS• Experience building and operating production data pipelines
Nice to HaveKafkaSparkPostgreSQLAWS S3 / Glue / LambdaTerraformDockerData-quality frameworksData observabilityCI/CD for data pipelinesDimensional modellingExperience working with environmental, energy, IoT, or geospatial datasets
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