30 Jul
|
Artech Infosystems
|
Hyderabad
30 Jul
Artech Infosystems
Hyderabad
Job Title: Data Engineer – PySpark & Palantir Foundry
Location: Hyderabad, India
Experience: 5+ Years
About the Role
We are looking for a skilled and motivated Data Engineer with solid expertise in PySpark, Python, and Palantir Foundry to join our growing data engineering team. The ideal candidate will have hands-on experience building scalable data pipelines, integrating diverse data sources, and delivering high-quality data solutions to support analytics and business decision-making.
Key Responsibilities
Design, develop, and maintain scalable and reliable data pipelines using PySpark .
Build and manage data ingestion, transformation, and integration processes within Palantir Foundry .
Perform data cleansing, validation, transformation, and aggregation to ensure high-quality datasets.
Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver data solutions.
Optimize data processing workflows for performance, scalability, and cost efficiency.
Develop and maintain reusable data engineering frameworks and best practices.
Monitor, troubleshoot, and resolve data pipeline issues in a timely manner.
Create and maintain technical documentation for data pipelines,
workflows, and processes.
Ensure adherence to data governance, security, and quality standards.
Required Skills & Qualifications
5+ years of experience in Data Engineering or related roles.
Robust hands-on experience with PySpark and Python .
Experience working with Palantir Foundry (Transforms, Code Repositories, Pipelines, Data Lineage, etc.).
Strong proficiency in SQL and relational databases.
Experience designing and implementing ETL/ELT pipelines.
Good understanding of data warehousing concepts and data modeling.
Familiarity with cloud platforms such as AWS, Azure, or GCP and their data services.
Experience with large-scale data processing and optimization techniques.
Solid problem-solving and analytical skills.
Excellent communication and stakeholder management abilities.
Preferred Qualifications
Experience working in Agile development environments.
Knowledge of data governance and data quality frameworks.
Exposure to CI/CD practices for data engineering workflows.
Experience supporting analytics, reporting, or machine learning use cases.
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