4 - 8 years

0 Lacs

Posted:6 hours ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Big Data Engineer, you will be responsible for designing, developing, and implementing robust Big Data solutions using technologies such as Hadoop, Spark, and NoSQL databases. Your key responsibilities will include: - Building and maintaining scalable data pipelines for effective data ingestion, transformation, and analysis. - Collaborating with data scientists, analysts, and cross-functional teams to understand business requirements and translate them into technical solutions. - Ensuring data quality and integrity through effective validation, monitoring, and troubleshooting techniques. - Optimizing data processing workflows for maximum performance and efficiency. - Staying up-to-date with evolving Big Data technologies and methodologies to enhance existing systems. - Implementing best practices for data governance, security, and compliance. - Documenting technical designs, processes, and procedures to support knowledge sharing across teams. Qualifications required for this role include: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 4+ years of experience as a Big Data Engineer or in a similar role. - Strong proficiency in Big Data technologies (Hadoop, Spark, Hive, Pig) and frameworks. - Extensive experience with programming languages such as Python, Scala, or Java. - Knowledge of data modeling and data warehousing concepts. - Familiarity with NoSQL databases like Cassandra or MongoDB. - Proficient in SQL for data querying and analysis. - Strong analytical and problem-solving skills. - Excellent communication and collaboration abilities. - Ability to work independently and effectively in a fast-paced environment. The company offers a competitive salary and benefits package, along with the opportunity to work on cutting-edge technologies and solve complex challenges. You will be part of a dynamic and collaborative work environment with opportunities for growth and career advancement, along with regular training and professional development opportunities.,

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