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addressEndereçoSão Paulo, SP
CategoriaEngenharia

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Lead Data Warehouse Engineer Smart Energy Water Rio de Janeiro, Brazil (Remote) Long term contract role, no benefits Company: Choice Technology, an SEW company Company Overview Choice Technologies, an SEW company, is a prominent global player in Revenue Assurance for Utilities, having built its Revenue Intelligence platform to assist utilities reduce non-technical revenue losses and minimize operational costs. CHOICE's Revenue Intelligence platform uses sophisticated AI and ML-based algorithms to accurately forecast fraud probability and the financial return connected to each customer. The platform enables improved revenue assurance activities such as fraud and theft prevention, meter replacement, administrative process optimization or delivering the threefold benefit of restoring lost revenues for utilities, bringing down tariffs for end customers, and decreasing energy and water usage, helping the environment. About the role As the Lead Data Engineer at Choice Tech, you will be responsible for designing, implementing, and managing our data architecture and engineering solutions. You will work closely with cross-functional teams to ensure the availability, reliability, and scalability of our data systems. This role offers the opportunity to lead and mentor a team of data engineers while contributing to the strategic vision of our data initiatives. If you are a results-driven data engineer with a passion for leading teams and driving innovation in data engineering, we invite you to join our Choice/SEW family. Help us shape the future of our data-driven endeavors and make a meaningful impact in the [industry/sector] landscape. Responsibilities · Data Architecture: Develop and maintain a robust and scalable data architecture that supports the needs of the business. · 2Data Integration: Lead efforts to collect, process, and integrate data from various sources into our solutions. · Data Transformation: Design and implement ETL (Extract, Transform, Load) processes to clean, transform, and prepare data for analysis. · Data Quality: Ensure data accuracy, consistency, and integrity by implementing data quality checks and monitoring procedures. · Team Leadership: Supervise and mentor a team of data engineers, providing guidance and fostering their professional development. · Performance Optimization: Continuously optimize data pipelines and processes for improved efficiency and speed. · Data Security: Implement and maintain data security and compliance measures to protect sensitive information. · Collaboration: Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights. · Documentation: Create and maintain comprehensive documentation of data engineering processes and systems. Requirements · Bachelor's or master’s degree in computer science, Data Engineering, or a related field. · Proven experience (5+ years) in data engineering, with a strong track record of designing and implementing complex data solutions. . Strong ETL background · Proficiency in data warehousing concepts and technologies (e.g., SQL, NoSQL, Snowflake). · Strong programming skills in languages such as T-SQL and Java · Experience with data pipeline orchestration tools (e.g., Apache Airflow, Apache NiFi, Jenkins). · Knowledge of data modeling and database design principles. · Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. · Excellent problem-solving and troubleshooting skills. · Strong leadership and team management capabilities. · Effective communication skills and the ability to work collaboratively across departments. · Speak English and Portuguese 'Choice Tech, an SEW company, is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.'

Refer code: 1588300. Smart Energy Water - O dia anterior - 2024-03-30 01:48

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