About Us

At Tech Mahindra (Tech Mahindra | Connected World, Connected Experiences), we live the philosophy of connected world and connected experiences. We thrive on change that is powered by the intelligent symphony of technology and humans designing meaningful and sustainable experiences. Consumer ‘experiences’ are driving and disrupting industries like never before.

Businesses must build seamless yet simple enterprises that collaborate, synergize, and drive the change. Change that connects us all and empowers us to deliver experiences that span across the digital, the physical, the convergent, and everything in between. That’s when truly connected experiences manifest.

Extraordinary is when experiences come together – a continuous convergence of digital technologies, touchpoints, and most importantly people. It’s time to reimagine, reinvent, and revolutionize business models & operations as well as to transform enterprises into living, breathing, and connected businesses. We are the Digital Change makers who strive to change the way the world, communities, businesses, and humans interact digitally.

We are harnessing the power of change, brought in by technologies, that makes it the most exciting time to be alive in the human history. Our universe, as we build it, disrupt it, and redesign it, is powering the digital change.

Tech Mahindra represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates, and the Society to Rise. It has 150,000+ professionals working for 1000+ Global Customers (including Fortune 500 companies) in 90 Countries. We’re part of the esteemed Mahindra group, headquartered in India.



Under a recent CEO, Tech Mahindra is committed to a transformative journey with 'Scale @ Speed' as our guiding principle.

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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





- 8–10 years’ 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

Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability.

All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities.

📌 AWS Data Engineer (Sydney)
🏢 Tech Mahindra
📍 Sydney