Application Lead

 About The Role  

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, PySparkGood 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 education

 Qualification 15 years full time education