Job Description
Note: A minimum of 07 years of experience is mandatory.
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Job Description
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We are looking for self-motivated Data Engineers to design, build, deploy, and operate ETL jobs. The role involves extracting data from SQL databases and CSV files, transforming it into consumer-specific CSV formats, and securely delivering the files to downstream systems through SFTP or similar mechanisms.
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Key Responsibilities
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Design and develop reliable ETL jobs and data interfaces.
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Extract data from SQL databases and CSV files.
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Transform and format data based on consumer requirements.
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Deliver files securely using SFTP or similar file-transfer mechanisms.
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Deploy ETL jobs to non-production and production environments.
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Implement appropriate controls to protect PII and sensitive data.
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Monitor, troubleshoot, and support ETL jobs in production.
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Prepare technical designs for scalable and maintainable solutions.
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Collaborate with consumers and technical teams to understand interface requirements.
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Required Skills and Experience
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Strong experience with Python, Java, SQL, XML, and AWS.
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Hands-on experience building and operating ETL jobs or similar data-processing solutions.
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Experience with CSV-based data interfaces and SFTP file transfers.
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Experience deploying applications across non-production and production environments.
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Knowledge of data security, PII protection, and production controls.
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Ability to independently analyze problems and develop suitable technical designs.
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Robust communication, troubleshooting, and collaboration skills.
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Preferred Skills:
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Experience with AI-assisted development tools such as Claude Code.
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Knowledge of cloud-based data engineering and automation practices.
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Experience with job scheduling, monitoring, and operational support.
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#J-*****-Ljbffr
📌 Senior Data Engineer(Melbourne) (Victoria)
🏢 Synechron
📍 Victoria
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