Live opening · Posted 18 days ago
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Description supplied by the original job listing.
Responsibilities:
Design, build, and maintain scalable ETL pipelines to process structured and unstructured data.
Develop and optimise data models for analytical and operational use.
Work with Big Data technologies (e. g., Spark, Hadoop, Kafka) to process large volumes of data efficiently.
Ensure data quality, security, and governance best practices.
Collaborate with data scientists, analysts, and software engineers to support business requirements.
Implement cloud-based data solutions (AWS, Azure, or GCP).
Automate data workflows and performance tuning of databases.
Monitor and troubleshoot data pipeline failures, ensuring high availability and reliability.
Requirements:
B. Tech. in Computer Science with 3+ years of progressive industry experience.
Proficiency in competitive programming in Python, Java, or any one programming language.
Experience with SQL is a plus.
Must have good communication (verbal and written), interpersonal, and problem-solving skills.
Must be able to work independently and enjoy working in a fast-paced start-up environment.
Experience
3-7 yrs
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