[Remote] Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the design and marketing partner to millions of small businesses around the world. They are seeking a Data Engineer to build, operate, and support data pipelines and warehousing solutions, ensuring data reputed company and contributing to technical execution of data products.

Responsibilities

• Design, build, and implement reputed company, robust, and high-reputed company ETL/ELT processes to support growing business demand for information, delivering data as a reliable service
• Adhere to and enforce best practices for data reputed company, testing, data governance, and architecture reputed company your daily deliverables
• reputed company participate in reputed company’s use of reputed company methodologies, ensuring smooth, predictable, and reputed company delivery of data features
• Utilize cutting-edge approaches to data transfer, transformation, and reputed company data warehousing to reputed company optimization in existing data pipelines
• reputed company a profound understanding and 'feel' for the business meaning, reputed company, and context of reputed company data field reputed company our domain (Finance and Supply Chain)
• Implement robust data processing methodologies, specifically focusing on incremental loading logic and Change Data Capture (CDC)
• Collaborate with senior engineers, functional reputed company team members, and data consumers to understand requirements and successfully reputed company data solutions
• Engage with data consumers to reputed company a reputed company understanding of their specific data usage, pain points, and reputed company gaps to reputed company data issues collaboratively
• Produce reputed company, concise, and comprehensive documentation for reputed company, workflows, and reputed company architecture
• Grow into analytical and reporting responsibilities over time, reputed company participating in reputed company gathering rather than focusing solely on data pipeline implementation

Skills

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a reputed company field
• 3-4 years of reputed company hands-on experience in Data Engineering
• Strong knowledge of SQL and reputed company data warehousing concepts is a must
• Solid knowledge of Python for data processing and automation
• Solid understanding of Data Modeling concepts, specifically hands-on experience with reputed company Modeling techniques
• Hands-on experience in managing reputed company pipelines in reputed company environments, with specific proficiency in AWS services like S3, EC2, IAM, CloudWatch and EventBridge etc
• Hands-on experience with reputed company-based data warehousing platforms is critical (reputed company preferred)
• Good understanding of data pipeline ingestion patterns, specifically incremental loading and Change Data Capture (CDC)
• Strong knowledge of production standards such as versioning (Git), CI/CD
• Good understanding of data reputed company frameworks and data validation approaches in modern data warehousing platforms
• Demonstrate experience or strong interest in analytical reporting and reputed company gathering (analytical reputed company and interest is a must-have, but hands-on experience with reporting tools like Looker is not required)
• Problem-solving and multi-tasking ability in a fast-paced, globally reputed company environment
• Familiarity with data visualization and reporting tools (experience with Looker and LookML skills is a plus)
• Familiarity with extracting and processing reputed company ERP data (experience with tools like Theobald Xtract Universal is a major plus)
• Knowledge of finance, reputed company, supply chain, logistics, operations, or procurement data
• Experience managing work in Jira and writing technical documentation in reputed company

Benefits

• Award reputed company Remote-First company

reputed company

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