Sr Specialist Data/AI Engineering - Palantir Foundry at AT&T

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, TelecommunicationsIndustries

Requirements

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
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
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)
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
Hands-on experience on Snowflake in writing procedures/functions, Snowpipe, Data Pipelines, Data Transformation

Responsibilities

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

Skills

Key technologies and capabilities for this role

Palantir FoundryPythonJavaAzure SynapseAzure Data LakeAzure StorageSnowflakeSnowpipeETLData PipelinesData ModelingAPIsMicroservicesData Governance

Questions & Answers

Common questions about this position

What is the salary for this Sr Specialist Data/AI Engineering role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What are the key technical skills required for this role?

The role requires 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 like Azure Synapse and Data Lake, and proficiency in SQL for data querying and transformation.

What does the team collaboration look like in this role?

The role involves working closely with data scientists, analysts, and business stakeholders to understand data requirements, provide technical support and training on Palantir Foundry, and participating in Agile development processes with DevOps teams.

What makes a strong candidate for this Data/AI Engineering position?

Strong candidates will have proficiency in Palantir Foundry, Python, Java, Azure data tools, and SQL, along with experience building ETL/ELT pipelines, knowledge of data governance, and excellent problem-solving and collaboration skills.

AT&T

Telecommunications services including wireless and broadband

About AT&T

AT&T provides telecommunications services, including wireless communications, broadband internet, and digital television, primarily in the United States. Its 5G network offers faster data speeds and more reliable connections, although availability can vary. The company caters to both individual consumers and businesses, offering various subscription plans that include options for unlimited data and bundled services that combine internet, TV, and phone. AT&T generates revenue mainly through subscription fees, device sales, and its streaming service, DIRECTV STREAM, which adds to its diverse offerings. In a competitive market, AT&T distinguishes itself with its extensive service range and strong brand presence.

Dallas, TexasHeadquarters

1876Year Founded

$43.3MTotal Funding

IPOCompany Stage

Consumer Software, EntertainmentIndustries

10,001+Employees