<p><strong>The Company</strong></p><ul><li>Huge payment processing company.</li></ul><p><strong><span class="TextRun SCXW120139079 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW120139079 BCX8">Job description</span></span><span class="EOP SCXW120139079 BCX8" data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></strong></p><ul><li>Data Modeling: Design and implement data models that support efficient data storage, retrieval, and analysis;</li><li>Data Quality Assurance: Implement best practices for data quality, integrity, and security to ensure reliable analytics and reporting;</li><li>Data Warehousing/Data Lake: Design and manage the data warehouse or data lake, ensuring data is organized and optimized for reporting and analysis;</li><li>ETL Processes: Develop and maintain efficient ETL processes to transform raw data into usable formats for reporting and analysis;</li><li>Performance Optimization: Continuously monitor and optimize data pipelines and queries to ensure optimal performance and resource utilization;</li><li>Collaboration: Work closely with product managers, software engineers, and other stakeholders to understand data requirements and translate them into effective data solutions;</li><li>Innovation: Stay up-to-date with industry trends and emerging technologies in data engineering and analytics, and proactively suggest innovative solutions to enhance developer productivity;</li><li>Technical Expertise: Deep understanding of data engineering principles, data modeling, ETL processes, and data warehousing/data lakes. Proficiency in SQL and relevant programming languages (e.g., Python, Java);</li><li>Data Pipeline Tools: Experience with data pipeline tools such as Apache Airflow, Apache Kafka, or similar technologies,</li><li>Cloud Platforms: Familiarity with cloud platforms such as AWS, Azure, or GCP, and their data services;</li><li>Problem-Solving Skills: Strong analytical and problem-solving skills, with the ability to troubleshoot dat; issues and optimize data pipelines;</li><li>Attention to Detail: Meticulous approach to data quality and accuracy, ensuring data integrity throughout the pipeline;</li><li>Communication Skills: Ability to communicate technical concepts clearly and collaborate effectively with cross-functional teams.</li></ul><p><strong><span class="TextRun SCXW186815635 BCX8" lang="EN-US" xml:lang="EN-US" data-contrast="none"><span class="NormalTextRun SCXW186815635 BCX8">Requirement Profile - Knowledge, Skills & Experiences</span></span><span class="EOP SCXW186815635 BCX8" data-ccp-props="{"134233117":true,"134233118":true,"201341983":0,"335559740":240}"> </span></strong></p><ul><li>Bachelor's degree in computer science, engineering, or a related field;</li><li>Senior of experience in data engineering, with a focus on data pipeline development and data architecture;</li><li>Familiarity with data visualization tools (e.g., powerBI) and analytics frameworks;</li><li>Strong Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark, Kafka);</li><li>Proficiency with at least one programming language (eg, Java);</li><li>Experience with cloud platforms (e.g., AWS, GCP, Azure) and data storage solutions (e.g., Redshift, BigQuery, Snowflake);</li><li>Customer-Centric Mindset with a track record of synthesizing customer insights, constructing product roadmap, demonstrated ability to empathize with the developers, and influence developers and stakeholders at all levels of the organization;</li><li>Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment;</li><li>It is important to be available to work temporarily for 6 to 9 months and to have good fluency in communication in English.</li></ul><img src="https://counter.adcourier.com/dml2aWFuZS5zYW1wYWlvLjg0Mzc4LjEwODk2QHJoaWJyLmFwbGl0cmFrLmNvbQ.gif">
