Chennai, Tamil Nadu, India
Information Technology
Full-Time
Removed
Overview
Job Title : Data Engineer
Years of Exp : 3-7
Location : Bangalore
Job Description
We are seeking a skilled Data Engineer to join our growing team in Bangalore. The ideal candidate will have a strong background in data engineering, working with large-scale data systems, and driving data pipelines that facilitate high-quality data processing and analysis. You will work closely with data scientists, analysts, and other cross-functional teams to ensure the efficient management, transformation, and storage of data.
Key Responsibilities
Data Pipeline Development :
(ref:hirist.tech)
Years of Exp : 3-7
Location : Bangalore
Job Description
We are seeking a skilled Data Engineer to join our growing team in Bangalore. The ideal candidate will have a strong background in data engineering, working with large-scale data systems, and driving data pipelines that facilitate high-quality data processing and analysis. You will work closely with data scientists, analysts, and other cross-functional teams to ensure the efficient management, transformation, and storage of data.
Key Responsibilities
Data Pipeline Development :
- Design, develop, and maintain robust data pipelines to process large volumes of structured and unstructured data from various sources.
- Ensure data accuracy, reliability, and scalability.
- Develop and implement ETL processes to extract, transform, and load data into centralized data warehouses and data lakes.
- Ensure seamless integration with external APIs and databases.
- Monitor data quality, perform regular data cleansing, and ensure that datasets are accurate, consistent, and up to date.
- Implement automated checks and validation :
- Work closely with data scientists and analysts to understand data needs and help optimize data flows for analysis and machine learning model development.
- Manage and optimize relational and NoSQL databases, ensuring efficient data storage and fast query performance.
- Experience with technologies such as SQL, Hive, and Spark is essential.
- Continuously monitor and optimize data processes and storage systems for performance improvements, ensuring efficient resource usage and :
- Maintain clear and comprehensive documentation for all data engineering processes, pipelines, and infrastructure to ensure transparency and ease of :
- 3-7 years of experience in data engineering, with hands-on experience in building data pipelines and working with big data technologies.
- Strong experience with SQL, ETL processes, and data warehousing.
- Proficiency in data engineering tools such as Apache Hadoop, Spark, Kafka, or similar technologies.
- Experience with cloud platforms like AWS, Google Cloud, or Azure.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills to work with cross-functional teams.
(ref:hirist.tech)
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