Application Developer Job in Bangalore at Apptad

Roles & Responsibilities:

• Develop and maintain robust data pipelines and workflows within the Palantir Foundry platform.
• Leverage Pyspark and Python for large-scale data processing, transformation, and integration across diverse data sources.
• Design, implement, and optimize advanced SQL queries for data extraction, manipulation, and analysis.
• Collaborate closely with business analysts, data scientists, and other engineers to translate business requirements into scalable data solutions.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Troubleshoot, debug, and optimize data workflows for performance and reliability.
• Document architecture, processes, and best practices for ongoing support and knowledge sharing.

Required Skills & Qualifications

• Palantir Foundry: Proven experience building data pipelines, managing datasets, and deploying applications within Foundry.

Specifics required are as follows

• Practical skills required to build and maintain production-grade data pipelines, data connections, and ontologies
• General knowledge of platform capabilities and specific applications within the Foundry suite that are useful for performing the job of data engineer
• DATA PIPELINE DEVELOPMENT IN FOUNDRY Develop transforms on structured (tabular) and unstructured datasets in Foundry Apply best practices when building data pipelines
• DATA PIPELINE MAINTENANCE IN FOUNDRY Effectively investigate and fix common issues in data pipelines Contribute to logic changes and performance improvements to transform pipelines feeding mission critical workflows Familiarity with recommended support structures
• DATA CONNECTION AND INTEGRATION IN FOUNDRY Familiarity with architecture and capabilities of Data Connection Set up sources and syncs ingesting tabular data or raw files from external systems to Foundry
• ONTOLOGY DESIGN AND DEVELOPMENT IN FOUNDRY Provide data engineering context during ontology design and implement pipelines backing ontology objects and links based on application requirements
• Spark/Pyspark: Strong expertise in distributed data processing and transformation using Spark/Pyspark.
• Python: Proficiency in Python for scripting, automation, and data wrangling tasks.
• SQL: Advanced skills in writing efficient SQL queries for complex data manipulation and reporting.
• Familiarity with data modeling, ETL processes, and best practices in data engineering
• Experience working with large and complex data sets from multiple sources.
• Excellent problem-solving, communication, and collaboration skills.
• Additional Information: - The candidate should have minimum 3 years of experience in Palantir Foundry.- A 15 years full time education is required.

With a team of over 500 specialized data and analytics engineers across 10+ locations in the US and India, Apptad delivers high-quality consulting services in key areas such as cloud migration, core data platforms (customer and product), intelligent automation, business intelligence, data quality and governance, UX/UI, and augmented intelligence.