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2 Jarvis Consultancy & Services Jobs
Data Engineer
Jarvis Consultancy & Services
posted 6mon ago
Job Role Insights
Key skills for the job
Job Description
Overview
A Data Engineer plays a crucial role in the organization by designing, building, and maintaining scalable data pipelines to support the data infrastructure needs. They are responsible for transforming data into a format that can be easily analyzed and leveraged to drive business insights. Data Engineers work closely with data scientists and analysts to ensure the seamless flow of data for use in machine learning models, analytics, and other applications.
Key responsibilities - Design and implement scalable and robust data pipelines
- Collaborate with cross-functional teams to understand data requirements
- Develop and maintain databases, data warehouses, and data lakes
- Optimize data models and database performance
- Create and manage ETL processes
- Ensure data quality and integrity through data validation and testing
- Implement and maintain data security and privacy measures
- Conduct performance tuning and troubleshooting of data infrastructure
- Stay updated with emerging technologies and industry trends in big data
- Provide technical support and guidance on data-related issues
- Document data architecture, processes, and procedures
- Collaborate in the development of data governance policies
- Participate in the evaluation and implementation of new tools and technologies
- Contribute to the continuous improvement of data engineering processes
- Communicate with stakeholders to gather and understand data requirements
- Bachelors or Masters degree in Computer Science, Information Technology, or a related field
- Proven experience in data engineering or a similar role
- Strong proficiency in database management systems such as SQL, NoSQL, etc.
- Experience with ETL tools and processes
- Expertise in data warehousing and data modeling
- Proficiency in programming languages such as Python, Java, or Scala
- Knowledge of big data technologies and frameworks such as Hadoop, Spark, etc.
- Familiarity with cloud platforms and services such as AWS, Azure, or Google Cloud
- Understanding of data security, privacy, and compliance requirements
- Excellent problem-solving and analytical skills
- Ability to work in a fast-paced and collaborative environment
- Strong communication and interpersonal skills
- Detail-oriented with a focus on delivering high-quality solutions
- Ability to manage multiple concurrent projects and priorities
- Certifications in relevant technologies or data engineering disciplines are a plus
Employment Type: Full Time, Permanent
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