Maxonic is seeking a Data Engineer for their Revenue Management System team in Los Angeles, CA. The role involves designing data pipelines and collaborating with data scientists to enhance dynamic pricing strategies.
This is Pramod kamti from Maxonic (http://www.maxonic.com ), saw your profile and wanted to connect. feel free to call Pramod Kamti at my Direct no. 408-400- 2327 or email at pramod.k@maxonic.com JOB Description : Job Title: Data Engineer RMS (Revenue Management System) Job Type: Full Time/ Permanent Job Location: Woodland Hills, CA Work Schedule: Hybrid (3 days onsite, 2 days remote) (Either Machine Learning or Pricing is a must have) Responsibilities: We are seeking a highly motivated and experienced Data Engineer to join our dynamic and growing Data Platforms & Solutions team. As a Data Engineer within our dynamic pricing product team, you will play a crucial role in supplying data for production machine-learning models. Working alongside data scientists, data analysts, and software developers, you will ensure the efficient and accurate handling of data pipelines, facilitate the implementation of data models, and contribute to the overall enhancement of our pricing strategies. Your key responsibilities will include: Qualifications: • Bachelor's (from a four-year college or university) or Master’s degree in Computer Science, Computer Engineering, or a related field. • 4+ years of related experience in data warehousing, data pipelining and other big data technologies. Strong knowledge and/or experience in building a DataLakeHouse is a plus. • Strong proficiency in SQL and experience with relational databases such as PostgreSQL, MySQL, or SQL Server. • Experience with cloud platforms (e.g., Azure, AWS, GCP), with a preference for Azure. • Knowledge of big data technologies such as Spark, Hadoop, or Databricks. • Strong problem-solving skills and the ability to work independently and collaboratively in a team environment. • A proactive approach. • Excellent problem-solving and critical thinking skills. • Strong communication and collaboration skills, with the ability to work in a fast-paced and dynamic environment. • Ability to switch gears quickly and cope with change. • Proven experience in designing and implementing data engineering solutions, with a strong focus on data models and data architecture, ideally in the travel and leisure industry. Technical Skills: • Azure Databricks (ML Flow, model serving) • Synapse Analytics & Pipelines • Strong skills in Python/Spark SQL • Experience with PowerBI • Experiance with real time data pipelines (kafka, event hubs, spark streaming) is a plus Responsibilities: • Design, develop, and maintain scalable data pipelines to support dynamic pricing models. • Collaborate with data scientists to prepare data for model training, validation, and deployment. • Implement and optimize ETL (Extract, Transform, Load) processes to ensure data accuracy and reliability. • Monitor and troubleshoot data workflows to ensure continuous and reliable data integration. • Work with the software development team to integrate data engineering solutions into the broader product architecture. • Ensure data governance and compliance with relevant data privacy and security regulations. • Engage with stakeholders to understand data requirements and translate these into technical specifications. • Document data engineering processes and contribute to best practices. Please schedule a meeting for a quick chat. https://calendly.com/pramod-k-1 We believe in the power of building successful careers for everyone. Company DescriptionSince 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award-winning, dedicated team of recruiting professionals specialized in technology, are great listeners and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 5,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients.
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