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Job Title : Senior AWS Data Engineer Location : Sydney Mode:Permanent Job Description: Role Overview The Senior AWS Data Engineer is responsible to design, build, and support scalable data pipelines and curated datasets on AWS. He/She will work with cross functional teams to ingest, transform, and serve data for reporting, analytics, and downstream applications. The ideal candidate is hands on, strong in SQL/Python, and experienced with AWS native data services and modern data engineering practices. Key Responsibilities Design, develop, and maintain end to end data pipelines (batch and near real time) on AWS Data Platform Build and manage ETL/ELT workflows using AWS services (e.g., AWS Glue, S3, Redshift, Athena, EMR), dbt and orchestration tools such as Airflow Implement data ingestion patterns from diverse sources (databases, APIs, files, event streams) into lake/warehouse layers such as raw, cleansed, and curated data layers Develop transformation logic using SQL and Python/PySpark for cleansing, enrichment, and standardisation Implement robust data quality checks, reconciliation controls, and monitoring/alerting for failures and anomalies Collaborate with data analysts/data scientists to model datasets for analytics and machine learning consumption. Contribute to DataOps/DevOps practices: version control, CI/CD, automated testing, release management, and operational support. Produce and maintain technical documentation (data flows, mappings, job schedules, runbooks, and operational procedures) Optimise Data Pipeline performance and Support workflow orchestration and scheduling Support production deployments and operations Required Skills & Experience Extensive experience as a Data Engineer Advanced SQL skills Hands on experience working with Teradata and Siebel CRM data sets Experience delivering data pipelines in a large-scale enterprise data platform environment Strong hands-on AWS experience with common data services such as : Amazon S3 , AWS Glue , Amazon Redshift , Amazon Athena , Amazon EMR and dbt Strong programming capability in Python and strong data transformation experience using PySpark (preferred) and/or Spark. Advanced SQL skills (query optimisation, complex joins, window functions, performance tuning) Experience with workflow orchestration tools such as Airflow Solid understanding of data warehousing concepts (dimensional modelling, partitioning, incremental loads, CDC concepts). Experience implementing monitoring, logging, alerting, and operational support processes. Strong communication skills and ability to work with stakeholders to translate requirements into data deliverables Telco Industry Experience is highly desirable Interested candidates can send their updated resume to Dhivya.Natarajan@carecone.com.au or reach me @ M: 61283195529
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.