Data Engineer

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

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Location: Melbourne

Salary Range: AUD Annual Gross

Please note: The above salary range is indicative and may be subject to suitable enhancements based on internal company processes.

Infosys is seeking a highly skilled and motivated Senior Consultant to join our DNA team. As a Senior Consultant you will be responsible for delivering high-quality data solutions, building and maintaining an entire data stack that includes a wide variety of integrations that ingest data, a data warehouse, a pipeline of data transformations, and several services that push data into other tools. You will also be responsible for building resilient, secure high-performance infrastructure required for optimal ETL/ELT processes from a wide variety of data sources using SQL, data lake, databricks technologies, and contributing to high-end innovative technological solutions with the client to develop data and AI led initiatives for transformation. You would be involved in the execution and delivery of such engagements, playing a key role.

• Deliver high-quality data solutions and maintain an end-to-end data stack including data ingestion, data warehouse, and data transformation pipelines.
• Build resilient, secure, high-performance infrastructure for ETL/ELT processes across varied data sources using SQL, data lake, and Databricks technologies.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver data-driven solutions.
• Design, build, and maintain scalable and reliable data pipelines (ETL/ELT) into data warehouses and data lakes.
• Define data models, schemas, and architectures ensuring data quality, integrity, performance, and availability.
• Contribute to deployments and innovations with clients to support data and AI-led transformation initiatives.
• Provide guidance and mentorship to data engineers and lead projects and initiatives.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• Proficiency in Python, Java, Scala, or R; experience building and optimizing code for data processing.
• Experience with cloud data warehouse solutions (Snowflake, Redshift, BigQuery, Azure).
• Experience with data ingestion tools (Fivetran, Stitch, Matillion).
• Strong scripting skills (Bash) and data pipeline/tools (Airflow, Azkaban).
• Experience with big data technologies (Hadoop, Spark, Kafka, Cassandra) and cloud services (AWS EMR, Azure HDInsight, Google Cloud Dataproc).
• Strong data modeling, data warehousing principles, and SQL proficiency.
• Experience with data visualization tools (Tableau, Power BI).
• Mentorship capabilities and ability to lead projects; strong problem-solving and communication skills.
• Experience with CI/CD, automated testing, and performance engineering; familiarity with Git.
• Knowledge of Connect-Direct, Ctrl-M Scheduler, Elasticsearch (ELK Stack), and Splunk is a plus.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industry: Information Services

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer.

Infosys does not accept unsolicited resumes from third party vendors. All recruitment activity must be coordinated through the Talent Acquisition department.