Job Description:

Key Responsibilities:

Data Engineering and Integration:

• Design, develop, and optimize scalable data pipelines and ETL processes using Palantir Foundry for data integration, transformation, and creating data models to support analytics and business use cases.
• Build and manage APIs and microservices using Python and Java to integrate data across systems and manage data processing and application logic.

Data Modeling and Architecture:

• Design and implement robust, scalable, and efficient data models in Palantir Foundry.
• Collaborate with data architects to define data governance, data lineage, and data quality standards.
• Develop and maintain reusable pipelines and templates for data transformation and enrichment.

Azure Cloud Expertise:

• Utilize Azure Synapse, Azure Data Lake, and Azure Storage for data storage and processing.
• Implement secure and efficient data workflows on Azure, ensuring compliance with organizational and regulatory policies.
• Monitor and troubleshoot Azure data pipelines for performance optimization.

Programming and Automation:

• Write clean, maintainable, and efficient code in Python and Java for data processing, automation, and integration tasks.
• Develop scripts to automate repetitive tasks and improve overall system efficiency.
• Hands on Experience on Snowflake in writing procedures / functions, Snowpipe, Data Pipelines, Data Transformation.

Collaboration and Stakeholder Engagement:

• Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights.
• Provide technical support and training on Palantir Foundry to internal teams.
• Participate in Agile development processes and collaborate with DevOps teams to ensure seamless deployment.

Performance Monitoring and Optimization:

• Monitor data pipelines and applications for reliability, scalability, and performance.
• Implement best practices for error handling, logging, and alerting to ensure system stability.

Required Skills and Qualifications:

• Technical Expertise:
  • Proficiency in Palantir Foundry for data integration, modeling, and pipeline development.
  • Strong programming skills in Python and Java.
  • Hands-on experience with Azure Data Engineering tools (e.g., Azure Data Factory, Databricks, Synapse, Data Lake, etc.).
  • Solid understanding of data structures, algorithms, and software engineering principles.
• Data Engineering Skills:
  • Experience in building and optimizing ETL/ELT pipelines for large-scale data processing.
  • Proficiency in SQL for data querying and transformation.
  • Familiarity with data governance, data lineage, and data security practices.
• Cloud Expertise:
  • Strong knowledge of Azure cloud services and infrastructure for data engineering.
  • Experience with CI/CD pipelines, containerization (e.g., Docker), and orchestration tools (e.g., Kubernetes).
• Problem Solving and Collaboration:
  • Excellent problem-solving skills and ability to troubleshoot complex issues in data systems.
  • Strong communication skills to collaborate effectively with technical and non-technical stakeholders.

Preferred Qualifications:

• Certification in Palantir or Microsoft Azure Data Engineering or related cloud certifications.
• Experience in working in Agile/Scrum environments.

Weekly Hours:

40

Time Type:

Regular

Location:

Bangalore, India

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.