Note: A minimum of 07 years of experience is mandatory.
Job Description: We are seeking a Data Engineer to build, maintain, and support cloud-native data platforms and scalable ETL/ELT pipelines.
Key Responsibilities:
Develop and optimize data pipelines using Python, SQL, Spark/PySpark, and AWS services.
Work with S3, Glue, EMR, Athena, and Aurora PostgreSQL.
Design effective data models and support operational databases.
Implement CDC, data governance, monitoring, and CI/CD pipelines using GitHub Actions.
Collaborate with stakeholders and deliver solutions within an Agile environment.
Required Skills:
Strong hands-on experience with SQL, Python, AWS, ETL/ELT, data modeling, and Spark/PySpark.
Experience with cloud-native data platforms, operational databases, and production support.
Solid problem-solving, communication, and stakeholder management skills.
Exposure to Kafka/MSK, Terraform, and event-driven architectures.
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📌 Senior Data Engineer(Melbourne/Sydney)
🏢 Synechron
📍 Melbourne