We are looking for a Data Engineer with 9 to 15 years of experience to join our team in Chennai. This role offers the flexibility of working from home. The successful candidate will play a crucial role in managing and optimizing data pipelines to support our data-driven decision-making processes.
**Key Responsibilities:**
- **Data Pipeline Development:** Design and create efficient data pipelines to ensure seamless extraction, transformation, and loading (ETL) of data from various sources.
- **Data Management:** Manage large sets of data, ensuring their accuracy, privacy, and security throughout the entire data lifecycle.
- **Collaboration:** Work closely with data scientists, analysts, and other stakeholders to understand their data needs and provide the necessary data solutions.
- **Performance Optimization:** Monitor and optimize the performance of existing data systems and processes for improved efficiency and scalability.
- **Documentation:** Maintain clear and comprehensive documentation of data processes and architecture for future reference and compliance.
**Required Skills and Expectations:**
The ideal candidate should possess robust programming skills, especially in Python or Java, and have experience with SQL and NoSQL databases. Familiarity with data warehousing tools and cloud platforms such as AWS or Azure is expected. Candidates should be adept in using ETL tools and have knowledge of data modeling techniques. Strong analytical and problem-solving skills are crucial, along with the ability to work independently and communicate effectively with team members and stakeholders. The candidate should demonstrate a proactive approach to learning new technologies and methodologies in the data engineering field.
- Experience
9 - 15 Years
- No. of Openings
5
- Education
Graduate
- Role
Data Engineer
- Industry Type
IT Services & Consulting
- Gender
[ Male / Female ]
- Job Country
India
- Type of Job
Full Time
- Work Location Type
Work from Home
📌 Hiring For Data Engineer (Chennai)
🏢 Navitas Partners
📍 Chennai
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