Data Engineer

5 days ago

Cochin, Kerala, India Prevalent AI Full time ₹ 5,00,000 - ₹ 15,00,000 per year

Role purpose 
Are you passionate about cutting-edge technology and big data? At Prevalent AI, we're at the forefront of building 
innovative solutions to handle petabyte-scale data. As a Data Engineer, you will play a pivotal role in supporting 
the development of key data engineering components for our Data Fabric and Exposure Management products.
In this exciting role, you'll work with open-source big data technologies to help us collect, transport, transform, 
and ingest massive amounts of data in a distributed architecture.

If you thrive in an environment that encourages continuous learning, embraces modern technology, and values 
the power of data, this is the perfect opportunity for you.

Key accountabilities

The ideal candidate would be a self-motivated individual with strong technology skills, commitment to quality 
and positive work ethic, who can


• Design, develop, and deploy data management modules, including data ingestion, parsing, scheduling, 
and processing, using agile practices

• Conduct unit, system, and integration testing of developed modules, ensuring high-quality data 
solutions

• Select and integrate Big Data tools and frameworks to meet capability requirements

• Collaborate with client and partner teams to deliver effective data solutions and resolve operational 
issues promptly

• Stay updated on industry trends and best practices in Data Engineering and Open-Source Big Data 
technologies

• Contribute to agile teamwork and follow a personal education plan for technology stack and solution 
architecture

• Build processes for data transformation, structures, metadata, and workload management

Skills and Experience


• Relevant experience in data engineering with open-source big data tools (Hadoop, Spark, Kafka) and 
NoSQL databases (Postgres, MongoDB, Elastic)

• Skilled in data pipeline management (e.g., Airflow), AWS services (EC2, EMR, RDS), and stream 
processing (e.g., Spark-Streaming)

• Proficient in object-oriented and functional programming languages (Python, Java, Scala), and data 
lake concepts (ingestion, transformation).

• Strong understanding of Hadoop and Spark frameworks, Agile methodology, and scalable big data 
architectures


• Excellent communication, with a self-motivated and analytical mindset for fast-paced environments

• Experience working with cross-functional teams to optimize big data pipelines and solutions

Education

• Master's/Bachelor's in Computer Science Engineering.

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