Data Engineer

Job not on LinkedIn

🕒 February 17

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 47%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Centific

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🤖 Artificial Intelligence

🛍️ eCommerce

🏢 Enterprise

Artificial Intelligence • eCommerce • Enterprise

Centific is a company that provides Zero distance innovation™ solutions for Generative AI (GenAI) creators and industries. The company focuses on rapid, safe, and scalable AI deployment, offering high-quality data and models to drive business impact through accelerated deployments. With expertise in AI and data science, Centific is positioned as a leader in data annotation and labeling for AI/ML, recognized by the Everest Group’s 2024 assessments. Their AI platforms support enterprise-ready applications, particularly improving search, personalization, fraud detection, and customer engagement in ecommerce environments. Centific serves a wide array of industries with foundational and frontier AI data solutions, fostering partnerships with leading model providers to advance sustainable GenAI models and applications.

📋 Description

• Develop and optimize PySpark-based ETL pipelines for processing large-scale data • Develop, test, and maintain robust Python applications • Collaborate with data engineers, analysts, and other developers to design and implement data solutions • Work with Azure Data Lake, Azure Databricks, and Azure Data Factory to build scalable data solutions • Implement data classification, policy enforcement, and metadata extraction within Purview • Collaborate with data engineers and business teams to ensure smooth data flow across systems • Troubleshoot performance bottlenecks in Spark jobs and improve data pipeline efficiency • Ensure data security, compliance, and quality following best practices.

🎯 Requirements

• 3+ years of experience in Python and PySpark for big data processing • Proven experience as a Python Developer or similar role • Strong experience with Azure Data Services (Data Lake, Data Factory) • Excellent problem-solving skills and ability to work in an agile environment • Excellent communication and teamwork abilities.

🏖️ Benefits

• Work-life balance for all employees • Opportunities for skills enhancement