This is a remote position.
About Us
DataTeams help Technology Companies find the most skill specific AI enabled Data Professionals.
Your role will involve addressing complex challenges and continuously seeking innovative solutions to improve data processing and performance. Collaboration and mentorship will be vital, as you work closely with cross-functional teams, sharing insights and best practices, and mentoring junior engineers to foster a culture of continuous learning and improvement.
Experience & Skills We’re Looking For: - Extensive experience with Databricks for building and optimising data pipelines and workflows. - Strong proficiency in SQL, Python, Scala, or Java for data processing and analysis. - Deep understanding of cloud services (AWS, Azure, or GCP) and their data offerings. - Proven experience in designing and implementing efficient ETL processes and data ingestion pipelines. - Strong background in performance optimization and tuning of data processing systems. - Ability to analyse complex datasets and extract actionable insights. - Familiarity with advanced analytics techniques and data modelling concepts.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 4+ years of experience in data engineering, with extensive experience in Databricks, or certification as a Data Engineer Professional.
- Exceptional leadership and communication skills, with the ability to convey information clearly and provide constructive feedback, including addressing mistakes.
Preferred Certifications:
- Additional certifications in data engineering or related fields.
- Experience with machine learning and AI workflows.
- Familiarity with data governance and security best practices (e.g., Unity Catalog).
- Experience with Cloudera Impala or Apache Kudu, demonstrating proficiency in managing and optimising distributed data storage and querying systems.
- Knowledge of Apache workflows, such as Apache Airflow or Apache NiFi, showcasing the ability to design, implement, and manage complex data pipelines.
- Familiarity with data visualisation and reporting tools (e.g., Power BI, Tableau).
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