Hybrid Data Engineering Analyst (Sydney)

Infosys Limited

Sydney

Hybrid

AUD 86,000 - 90,000

Full time

38 hours ago

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Benefits offered by this job

Income Protection Insurance

Paid Parental and Volunteer leaves

Employee Assistance Program (EAP)

Flexible working arrangements (hybrid)

Health Insurance Discount and Well‑be‑

Job summary

Infosys Limited in Sydney is seeking a Technology Analyst to transform data landscapes and deliver scalable data engineering solutions. You will design, build, and optimize data pipelines, collaborating with product owners and analytics teams to improve data availability and insights.

The role requires 4–5 years in data engineering, strong SQL and Python skills, and experience with Azure Databricks, Airflow, and data warehousing.

Qualifications

4–5 years of Data Engineering and Data Warehousing experience.
Strong SQL and Python with data science knowledge.
Experience with Azure and Databricks cloud data warehouses.

Responsibilities

Enhance, optimize, and maintain data ingestion, transformation, and extraction pipelines for reporting and analytics on the Unified Data platform.
Collaborate with Product Owner and Chapter Lead to understand priorities and gather requirements from initiative owners.
Perform data wrangling, profiling, and analysis for new datasets from source systems and existing datasets.
Coordinate with teams for planning, governance, engineering, and release management to ensure timely delivery.
Build new data assets and pipelines for downstream requirements (e.g., Tableau vs. TM1 cubes).
Document low-level design, mapping, test cases, release plans, and support manuals.
Schedule data pipelines using Control-M and Airflow with SLA compliance.
Provide warranty support to Operations post-production and update docs.
Collaborate with multiple business and IT teams to deliver outcomes.
Ensure effective communication across stakeholders and business units.
Gain knowledge by reviewing code to understand the Optus domain.
Adapt to an agile environment with changing challenges and tight timeframes.
Balance competing priorities to ensure timely resolution.
Develop sensible alternate solutions using market knowledge.