This is a Data Engineer role with one of the leading companies in AU right now Accenture with an amazing team. They are continuing to grow rapidly. This is the chance to join right as the takes off. More About the Role at Accenture Job Description Join Accenture a leading global consulting firm that is at the forefront of innovation, helping businesses unlock their full potential through cutting-edge technology and data-driven strategies. With a strong presence in over 50 countries and a focus on empowering businesses across industries, we deliver tailored solutions that drive growth, enhance efficiency, and foster digital transformation. Our team thrives on collaboration, innovation, and a passion for solving complex challenges with data and technology. Key Responsibilities: As a Data Engineer, you will: - Design, develop, and maintain scalable and efficient data pipelines to support business insights and analytics. - Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver robust solutions. - Build and optimize data architectures, ensuring high performance, reliability, and scalability. - Implement and manage ETL/ELT processes to integrate data from various sources into centralized systems. - Ensure data security, quality, and governance in compliance with best practices and regulatory requirements. - Troubleshoot and resolve data-related issues and provide ongoing support to analytics and business teams. Key Technical Skills To thrive in this role, you should bring: - Proficiency in Programming Languages: Python, Java, or Scala for data manipulation and pipeline development. - Data Pipeline Expertise: Hands-on experience with ETL/ELT tools and frameworks such as Apache Airflow, Talend, or Informatica. - Cloud Platforms: Knowledge of cloud services such as AWS (Glue, Redshift, S3), Azure (Data Factory, Synapse), or Google Cloud (BigQuery, Dataflow). - Data Warehousing: Experience with modern data warehousing solutions like Snowflake, Databricks, or similar. - Database Management: Strong SQL skills and familiarity with both relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra). - Big Data Technologies: Familiarity with Apache Spark, Hadoop, or Kafka is a plus. - Version Control and CI/CD: Experience with Git and CI/CD pipelines for automated deployment and testing. - Problem Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues effectively. Preferred Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related field. - 3 years of experience in data engineering or a similar role. - Knowledge of data visualization tools (e.g., Tableau, Power BI) is advantageous. - Familiarity with machine learning frameworks and tools is a plus. If you don’t think you're a perfect fit, you should still sign up to Hatch and create a profile, we'll match you to other roles that suit your profile. Hatch exists to level the playing field for people as they discover a career that’s right for them. We model this in our hiring process for our partners like Accenture. ✅ Applying here is the first step in the hiring process for this role at Accenture. We do not discriminate on the basis of gender identity, sexual orientation, cultural identity, disability, age, or any other non-merit factors. To put it simply, Hatch is for everyone.
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