Senior Software Engineer at Clari + Salesloft building AI - powered enterprise revenue solutions. Collaborate in a hybrid model to build scalable applications with a skilled team in India.
About the role
- Senior Data Engineer responsible for data architecture and engineering at CI&T, focusing on Australian clients and APAC region.
Responsibilities
- Contribute to technical engagements and proactively identify opportunities to expand CI&T's business with clients.
- Collaborate on multiple projects across various domains, providing diverse subject matter expertise.
- Participate in technical design and architecture discussions to ensure robust and scalable solutions.
- Ensure adherence to security, compliance, and performance best practices in all solutions.
- Create and maintain technical documentation required by clients.
- Communicate effectively with customer team members to ensure alignment and clarity of technical solutions.
- Understand client requirements and develop viable technical solutions by selecting appropriate frameworks and tools.
- Guarantee a stable and productive development environment for all team members.
Requirements
- 6+ years of experience in software development with a focus on data engineering.
- Proven expertise in Data Warehousing and Data Analytics projects, covering data acquisition, transformation, and data science initiatives.
- Familiarity with modern data file formats such as Delta Tables, Apache Iceberg, and Parquet.
- Proficiency in Python, Spark, DBT, and other data transformation frameworks.
- Strong skills in data modelling (conceptual, logical, and physical) using methodologies such as Data Vault 2.0 and Dimensional Modelling.
- Experience with cloud data services (Microsoft Intelligent Data Platform, AWS Data Services, or Google Cloud Data Analytics).
- Hands-on experience with cloud data platforms like Databricks and/or Snowflake (certifications a plus).
- Skilled in data pipeline orchestration tools (Azure Data Factory, AWS Glue, Apache Airflow, or Prefect).
- Experience with CI/CD and MLOps pipelines for development and deployment automation.
- Proficiency in Infrastructure as Code (IaC) for efficient infrastructure management.
- Expertise in data migration, performance tuning, and SQL query optimisation.
- Understanding of Data Governance and Data Management principles.
- Knowledge of design patterns, clean architecture, and clean coding principles.
- Familiarity with unit, integration, and end-to-end testing.
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