Data Engineer
2 weeks ago
Job Description:
We are seeking an experienced Data Engineer who will build automated pipelines and solutions for data migration/data import or other operations requiring data ETL.
Key Responsibilities:
- Perform analysis on core products to support migration planning and development.
- Work closely with the Team Lead and collaborating with other stakeholders to gather requirements and build well architected data solutions.
- Produce supporting documentation, such as specifications, data models, relation between data and others, required for the effective development, usage and communication of the data operations solutions with different stakeholders.
- Experience working with databases on-premises and/or cloud-based environments such as MSSQL, MySQL, PostgreSQL, AzureSQL, Aurora MySQL & PostgreSQL, AWS RDS etc.
- Experience building ETL/ELT pipelines.
- Strong problem solving and analytical skills, high attention to detail.
- Passion for analytics, real-time data, and monitoring.
- Critical Thinking and collaboration skills.
- Self-starter and a quick learner, ready to learn new technologies and tools that the job demand.
Requirements:
Essential:
• Strong experience (4-8 years of relevant experience) working with databases on-premises and/or cloud-based environments such as MSSQL, MySQL, PostgreSQL, AzureSQL, Aurora MySQL & PostgreSQL, AWS RDS etc.
• Strong knowledge of databases, data modeling and data life cycle.
• Proficient in understanding data and writing complex SQL.
• Experience with any ETL/ELT tool or platforms - SnapLogic (preferred), SSIS, Talend, Informatica, Azure Data Factory, AWS Glue, IBM InfoSphere etc.
• Experience working with REST API in data pipelines.
• Strong problem solving and high attention to detail.
• Passion for analytics, real-time data, and monitoring.
• Critical Thinking, good communication and collaboration skills.
• Focus on high performance and quality delivery.
• Highly self-motivated and continuous learner.
Desirable:
• Experience working with no-SQL databases like MongoDB.
• Experience working with Microsoft Power Platform (PowerAutomate and PowerApps) or any similar automation / RPA tool.
• Experience with cloud data platforms like snowflake, data bricks, AWS, Azure etc.
• Awareness of emerging ETL and Cloud concepts such as Amazon AWS or Microsoft Azure.
• Experience working with Scripting languages, such as Python, R, JavaScript, etc.
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