Remote Data Jobs • PySpark

Join our growing data team in India as an Azure Data Engineer! This role is ideal for someone with a strong foundation in cloud-based data engineering, who thrives on solving complex data challenges and building scalable solutions using Azure technologies. If you're passionate about data, performance optimization, and automation, we’d love to hear from you.

This position offers the opportunity to contribute to innovative data solutions in an agile and highly professional environment. You will work closely with an international team and play a key role in the further development of modern Data & Analytics products. Your expertise will support the successful transformation towards cloud-based systems and efficient data processes.

Lead the design, development, and governance of scalable data platforms using Databricks, and coordinate and optimize complex ETL/ELT pipelines using Python (including PySpark) and SQL, ensuring quality, efficiency, and reliability.

Seeking an experienced Principal Data Engineer to define and scale the technical strategy of our data platform. You will own the end-to-end quality, performance, and scalability of our data systems — from raw ingestion through to trusted datasets powering business-critical analytics and reporting. You’ll ensure that data is secure, compliant, discoverable, and business-ready.

As a data developer, you will be part of a dynamic team in an agile environment, collaborating with product managers (PMs) and other stakeholders. Your role will be key in building and maintaining a Data Lakehouse using Azure and Databricks, ensuring the correct delivery and availability of data for different areas of the business.

Seeking a skilled Data Engineer to join our team and drive our data infrastructure forward. In this role, you will primarily focus on maintaining and enhancing our data warehouse and pipelines (80%) while also contributing to data analysis and reporting initiatives (20%). You'll work closely with cross-functional stakeholders to build robust data solutions and create actionable insights through compelling visualizations.

We are seeking a highly skilled Data Pipeline Engineer to join our dynamic Data Engineering team to support our strategic pipelines and optimize for reliability, efficiency, and performance. This role involves designing, debugging, and refining high-performance data pipelines in Databricks, while also helping to train and support internal users.

You will build and embed intelligence into the products that significantly reduce fraud and improve FinCrime efforts. You will work closely with the FinCrime team to solve business challenges, design data products, and leverage machine learning to detect and mitigate fraud, driving meaningful impact for the business.

We are seeking a highly skilled Lead Data Engineer with strong expertise in PySpark, SQL, and Python. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines in a collaborative and fast-paced environment.

This role requires a candidate to build and support non-interactive & real-time, highly available data pipelines. You will build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines. The candidate provides consultation and leads the implementation of complex programs. This role requires documentation, query tuning skills and performing root cause analysis.