Netscribes - Data Engineer - Python/Java

7 hours ago

Bengaluru, Karnataka, India NETSCRIBES DATA INSIGHTS Full time ₹ 15,00,000 - ₹ 25,00,000 per year

About Netscribes :

Netscribes is a global market intelligence and content services provider that helps corporations achieve strategic objectives through a wide range of offerings.

Our solutions rely on a unique combination of qualitative and quantitative primary research, secondary/desk research, social media analytics, and IP research.

For more than 15 years, we have helped our clients across a range of industries, including technology, financial services, healthcare, retail, and CPG.

Fortune 500 companies, as well as small- to mid-size firms, have benefited from our partnership with relevant market and competitive insights to drive higher growth, faster customer acquisition, and a sustainable edge in their business.

Netscribes is backed by Helix investments, a US-based private equity fund.

Responsibilities :

- Design, build, and maintain scalable and reliable data pipelines to support growing data volume and complexity.

- Partner with analytics and business teams to optimize data models that power BI toolsenhancing data accessibility and driving informed decision-making.

- Implement robust systems for monitoring and ensuring data quality, accuracy, and availability across critical business functions.

- Conduct in-depth data analysis to identify and resolve issues related to data integrity and performance.

- Define and develop data assets and jobs using Spark, Spark SQL, and Hive SQL.

- Collaborate closely with backend/frontend engineers, product managers, and analysts to deliver end-to-end data solutions.

- Design and implement data integration and quality frameworks.

- Write unit and integration tests, document technical work, and contribute to internal knowledge bases.

Requirements :

- Bachelor's or Master's degree in Computer Science or a related technical field.

years of hands-on experience in Python or Java development.

years of strong SQL experience (NoSQL experience is a plus).

years in schema design and dimensional data modeling.

years working with Big Data technologies like Spark and Hive.

years of experience with data engineering on Google Cloud Platform (GCP), especially with BigQuery

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