Fullstack Data Engineer
Job Title: Fullstack Data Engineer
Location: 100% remote
Job Type: Long-term contract
Job Description:
• Should have 15+ years of IT experience and 12+ years of expereince in Data Engineering
• A Full Stack Data Engineer is responsible for designing, developing, testing, and maintaining data management systems.
• They are proficient in all stages of data processing, from collection and storage to processing, analysis, and visualization.
Key Responsibilities:
- Design and develop highly scalable and reliable data pipelines to ingest and process data in real time.
- Build data APIs and data delivery services to support critical operational and analytical applications.
- Implement complex analytical projects with a focus on collecting, managing, analyzing, and visualizing data.
- Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions.
- Ensure that data architecture supports business requirements.
- Optimize data delivery and develop monitoring and validation tools to ensure data accuracy and integrity.
- Experiment with new tools and technologies to deliver cutting-edge solutions.
- Manage and optimize the data warehouse and ensure data compliance with privacy regulations.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
- Proven experience as a data engineer, software developer, or similar role.
- Expertise in SQL, NoSQL databases, and various ETL tools.
- Proficiency in scripting languages like Python, Ruby, or Java.
- Experience in big data tools (Hadoop, Spark, Kafka, etc.) and data pipeline tools.
- Familiarity with data visualization tools (Tableau, D3.js, etc.)
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork skills.
- Knowledge of data privacy regulations and best practices.
Job Title: Fullstack Data Engineer
Location: 100% remote
Job Type: Long-term contract
Job Description:
• Should have 15+ years of IT experience and 12+ years of expereince in Data Engineering
• A Full Stack Data Engineer is responsible for designing, developing, testing, and maintaining data management systems.
• They are proficient in all stages of data processing, from collection and storage to processing, analysis, and visualization.
Key Responsibilities:
- Design and develop highly scalable and reliable data pipelines to ingest and process data in real time.
- Build data APIs and data delivery services to support critical operational and analytical applications.
- Implement complex analytical projects with a focus on collecting, managing, analyzing, and visualizing data.
- Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions.
- Ensure that data architecture supports business requirements.
- Optimize data delivery and develop monitoring and validation tools to ensure data accuracy and integrity.
- Experiment with new tools and technologies to deliver cutting-edge solutions.
- Manage and optimize the data warehouse and ensure data compliance with privacy regulations.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
- Proven experience as a data engineer, software developer, or similar role.
- Expertise in SQL, NoSQL databases, and various ETL tools.
- Proficiency in scripting languages like Python, Ruby, or Java.
- Experience in big data tools (Hadoop, Spark, Kafka, etc.) and data pipeline tools.
- Familiarity with data visualization tools (Tableau, D3.js, etc.)
- Strong problem-solving skills and attention to detail.
- Excellent communication and teamwork skills.
- Knowledge of data privacy regulations and best practices.
