Artificial Intelligence • Robotic Process Automation • Distributed Teams • Engineering • Tech
November 22
Artificial Intelligence • Robotic Process Automation • Distributed Teams • Engineering • Tech
• Design and implement data pipelines for extracting and loading data into a central data store • Collaborate with stakeholders to understand business requirements and design data models • Optimise and enhance existing data pipelines for high performance and reliability • Develop and maintain data quality checks to ensure accuracy and completeness • Monitor and maintain data pipelines, identifying areas for improvement • Participate in code reviews and collaborate with other engineers to maintain high-quality code • Create visualisations using tools like Power BI • Stay updated with industry trends, recommending new tools and technologies for data infrastructure improvement • Participate in discovery workshops and solutions design activities with customers
• At least 5 years of related experience • Strong experience with Databricks, Snowflake, Redshift, or Synapse • Demonstrated proficiency in AWS and/or Azure • Extensive knowledge of ETL processes and data integration • Expertise in data warehousing, modelling, and lake house architecture • Strong programming skills in Python, SQL, and Spark • Hands-on experience with Python (Pyspark, Lambda, Batch, Glue, DataFlow, etc) • Proficiency in data transformation and migration • Understanding of Data Governance concepts (MDM, Metadata management, Data Security, Data Quality, etc)
• Competitive salary and professional development • Collaborative client partnerships and a fun, inclusive work environment • Opportunities for leadership, expertise, and global client exposure • Monthly coaching, training, and career development • Remote work flexibility and a flexible hybrid model • Engage in social impact activities and industry impact • Achieve work-life balance and flexibility to support personal commitments • Comprehensive HMO coverage with one free dependent
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