Application Lead

Accenture in India; Bengaluru; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading consulting firm is looking for an Application Lead in Bengaluru to design and build applications on Palantir Foundry. Candidates should have at least 5 years of experience and be proficient in data engineering, specifically with tools like PySpark, Python, and SQL. The role includes developing data pipelines, collaborating with stakeholders and optimizing performance for business processes.

Qualifications

• Minimum 5 years of experience in a related field.
• Hands-on experience in data engineering and building data pipelines.
• Experience with Palantir Foundry services.

Responsibilities

• Design, build and enhance applications for Palantir Foundry.
• Develop and support data pipelines and applications.
• Communicate design processes effectively to team and client.

Skills

Palantir Foundry

PySpark

Python

SQL

Data engineering

ETL

Git

Education

15 years of full-time education

Tools

Azure DevOps

GitHub

Bitbucket

Gitlab

Job description

Project Role: Application Lead

Project Role Description: Lead the effort to design, build and configure applications, acting as the primary point of contact.

Requirements and Qualifications:

• Minimum 5 years of experience
• 15 years of full-time education
• Must have skills: Palantir Foundry
• Good to have skills: NA

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology and Engineering
• Industry: Software Development

Lead Data Engineer

Role Description: Design, build and enhance applications to meet business process and requirements in Palantir Foundry.

Responsibilities and Key Qualifications:

• 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 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.
• Proficiency in PySpark, Python, and SQL with demonstrable ability to write & optimize SQL and spark jobs.
• Hands on experience on Palantir Foundry services like Data Connection, Code repository, Contour, Data lineage & Health checks.
• Hands‑on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement & 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 experience in 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 (Azure DevOps, GitHub, Bitbucket, Gitlab).