Senior Data Engineer-AWS

Role: Senior Data Engineer-AWSYears of Exp.: 8-12 yearsLocation: Sydney
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.
Responsibilities:Design, develop, and maintain end to end data pipelines (batch and near real time) on AWS Data PlatformBuild and manage ETL/ELT workflows using AWS services (e.g., AWS Glue, S3, Redshift, Athena, EMR), dbt and orchestration tools such as AirflowImplement data ingestion patterns from diverse sources (databases, APIs, files, event streams) into lake/warehouse layers such as raw, cleansed, and curated data layersDevelop transformation logic using SQL and Python/PySpark for cleansing, enrichment, and standardisationImplement robust data quality checks, reconciliation controls, and monitoring/alerting for failures and anomaliesCollaborate 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 schedulingSupport production deployments and operations
Required Skills & ExperienceExtensive experience as a Data EngineerAdvanced SQL skillsHands on experience working with Teradata and Siebel CRM data setsExperience delivering data pipelines in a large-scale enterprise data platform environmentStrong hands-on AWS experience with common data services such as : Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR and dbtStrong 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 AirflowSolid 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 deliverablesTelco Industry Experience is highly desirable