Location
Mumbai | India
Job description
Company Overview
Expertia AI is a Deep Tech company that specializes in discovering, developing, and deploying skills to build the future of work for organizations and professionals. Our innovative products, such as the Virtual Recruiter and Expertia Skill Cloud, revolutionize the recruitment process by using advanced algorithms and data analysis.
Job Overview
We are looking for a skilled Data Engineer with 4 to 6 years of experience to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining our data infrastructure and systems. This is a full-time position based in Mumbai, Maharashtra, India.
Qualifications and Skills
- 4 to 6 years of experience as a Data Engineer or similar role
- Strong knowledge of SQL and experience with relational databases
- Proficiency in programming languages such as Python
- Experience with ETL (Extract, Transform, Load) processes and tools
- Understanding of data modeling techniques and data warehousing concepts
- Knowledge of Big Data technologies, such as Hadoop and Spark, is a plus
- Familiarity with cloud platforms, such as AWS or Azure, is a plus
- Excellent problem-solving and analytical skills
- Strong communication and collaboration abilities
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Functional Role:
Positional: IC
Roles and Responsibilities
- Design, build, and maintain scalable data pipelines and infrastructure
- Develop ETL processes to extract, transform, and load data from various sources
- Implement data storage solutions, such as databases, data lakes, and data warehouses
- Optimize data architecture and data flow to ensure efficient data retrieval and processing
- Collaborate with cross-functional teams to understand data requirements and provide data-driven solutions
- Perform data modeling and design data schemas for efficient data storage and retrieval
- Ensure data quality and integrity by implementing data validation and cleaning processes
- Monitor and troubleshoot data pipelines and resolve any issues in a timely manner
- Stay updated with the latest trends and technologies in the field of data engineering
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