Application Lead
Accenture
Administration
Posted on Aug 7, 2025
Project Role : Application Lead
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : Palantir Foundry
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Project Role: Lead Data Engineer Project Role Description: Design, build and enhance applications to meet business process and requirements in Palantir foundry. Work experience: Minimum 6 years Must have Skills: Palantir Foundry, PySpark Good to Have Skills: • Experience in PySpark, python and SQL • Knowledge on Big Data tools & Technologies • Organizational and project management experience. Job Requirements & Key Responsibilities: • Responsible for designing, developing, testing, and supporting data pipelines and applications on Palantir foundry. • Configure and customize Workshop to design and implement workflows and ontologies. • Collaborate with data engineers and stakeholders to ensure successful deployment and operation of Palantir foundry applications. • Work with stakeholders including the product owner, data, and design teams to assist with data-related technical issues and understand the requirements and design the data pipeline. • Work independently, troubleshoot issues and optimize performance. • Communicate design processes, ideas, and solutions clearly and effectively to team and client. • Assist junior team members in improving efficiency and productivity. Technical Experience: • Proficiency in PySpark, Python and SQL with demonstrable ability to write & optimize SQL and spark jobs. • Hands on experience on Palantir foundry related services like Data Connection, Code repository, Contour, Data lineage & Health checks. • Good to have working experience with workshop, ontology, slate. • Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. • Experience in ingesting data from different external source systems using data connections and sync. • Good Knowledge on Spark Architecture and hands on experience on performance tuning & code optimization. • Proficient in managing both structured and unstructured data, with expertise in handling various file formats such as CSV, JSON, Parquet, and ORC. • Experience in developing and managing scalable architecture & managing large data sets. • Good understanding of data loading mechanism and adeptly implement strategies for capturing CDC. • Nice to have test driven development and CI/CD workflows. • Experience in version control software such as Git and working with major hosting services (e. g. Azure DevOps, GitHub, Bitbucket, Gitlab). • Implementing code best practices involves adhering to guidelines that enhance code readability, maintainability, and overall quality. Educational Qualification:15 years of full-term education15 years full time education
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : Palantir Foundry
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Project Role: Lead Data Engineer Project Role Description: Design, build and enhance applications to meet business process and requirements in Palantir foundry. Work experience: Minimum 6 years Must have Skills: Palantir Foundry, PySpark Good to Have Skills: • Experience in PySpark, python and SQL • Knowledge on Big Data tools & Technologies • Organizational and project management experience. Job Requirements & Key Responsibilities: • Responsible for designing, developing, testing, and supporting data pipelines and applications on Palantir foundry. • Configure and customize Workshop to design and implement workflows and ontologies. • Collaborate with data engineers and stakeholders to ensure successful deployment and operation of Palantir foundry applications. • Work with stakeholders including the product owner, data, and design teams to assist with data-related technical issues and understand the requirements and design the data pipeline. • Work independently, troubleshoot issues and optimize performance. • Communicate design processes, ideas, and solutions clearly and effectively to team and client. • Assist junior team members in improving efficiency and productivity. Technical Experience: • Proficiency in PySpark, Python and SQL with demonstrable ability to write & optimize SQL and spark jobs. • Hands on experience on Palantir foundry related services like Data Connection, Code repository, Contour, Data lineage & Health checks. • Good to have working experience with workshop, ontology, slate. • Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry. • Experience in ingesting data from different external source systems using data connections and sync. • Good Knowledge on Spark Architecture and hands on experience on performance tuning & code optimization. • Proficient in managing both structured and unstructured data, with expertise in handling various file formats such as CSV, JSON, Parquet, and ORC. • Experience in developing and managing scalable architecture & managing large data sets. • Good understanding of data loading mechanism and adeptly implement strategies for capturing CDC. • Nice to have test driven development and CI/CD workflows. • Experience in version control software such as Git and working with major hosting services (e. g. Azure DevOps, GitHub, Bitbucket, Gitlab). • Implementing code best practices involves adhering to guidelines that enhance code readability, maintainability, and overall quality. Educational Qualification:15 years of full-term education15 years full time education
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