Staff Engineer - Data Engineering
2/19/2026
The role involves designing, building, and optimizing scalable data pipelines using PySpark and AWS EMR, alongside implementing real-time data streaming solutions. Key duties also include leading data migration projects from on-premise systems to the AWS cloud.
Working Hours
40 hours/week
Company Size
10,001+ employees
Language
English
Visa Sponsorship
No
Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise and agility. With more than 16,500 professionals across around 60 offices in 20 countries, we combine deep industry knowledge with advanced capabilities in such areas as AI, cloud, cybersecurity, and data engineering.
Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community.
Synechron Sydney is seeking a Data Engineering Lead with strong expertise in data streaming, AWS EMR, and PySpark to support large-scale data migration and transformation initiatives. The ideal candidate will have hands-on experience building scalable data pipelines, migrating workloads to cloud platforms, and enabling advanced analytics for enterprise clients.
Key Responsibilities
Data Engineering & Pipeline Development
Design, build, and optimize data pipelines using PySpark and AWS EMR.
Implement real-time data streaming solutions with tools such as Kafka, Kinesis, or Spark Streaming.
Develop ETL/ELT workflows for structured and unstructured data.
Cloud Migration
Lead and support data migration projects from on-premise to AWS cloud.
Ensure data integrity, security, and compliance during migration.
Platform Engineering
Deploy and manage big data workloads on AWS EMR, S3, Redshift, DynamoDB, and Glue.
Collaboration
Work closely with architects, data scientists, and business stakeholders.
Required Skills & Experience
8+ years of experience in data engineering with strong migration project exposure.
Hands-on expertise in PySpark, AWS EMR, and big data frameworks.
Experience with data streaming technologies (Kafka, Kinesis, Spark Streaming).
Strong knowledge of AWS services (S3, Glue, Redshift, DynamoDB, Lambda).
Proficiency in SQL/NoSQL databases and data modeling.
Familiarity with CI/CD pipelines, Docker, Kubernetes for data workloads.
Strong problem-solving and communication skills.
Preferred Qualifications
AWS certification (Data Analytics Specialty, Solutions Architect).
Experience in BFSI or enterprise-scale migration projects.
Exposure to event-driven architectures and real-time analytics.
Knowledge of data governance, lineage, and compliance frameworks.
Why Synechron Sydney?
Opportunity to work on mission-critical data migration and streaming projects.
Collaborative, innovative, and client-focused work culture.
Competitive compensation and career growth opportunities.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
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