Data Engineer at UiPath

Jaipur, Rajasthan, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Automation, AI, Enterprise SoftwareIndustries

Requirements

Proficiency in Python and DBT for data transformation and automation
Expertise in SQL and Snowflake
Familiarity with ETL processes, data integration tools, and API-based integrations
Experience with cloud platforms (e.g., AWS, Azure, GCP), with good understanding of AWS beneficial
Excellent communication and interpersonal skills for working with customer stakeholders
Ability to translate technical solutions into business-friendly language
Strong problem-solving skills and attention to detail
Familiarity with compliance and security protocols for handling sensitive data
Experience with inventory and pricing systems or similar applications is a plus

Responsibilities

Collaborate with customer stakeholders to understand their data structures and requirements
Design, implement, and maintain scalable and secure data pipelines
Transform and prepare client data for ingestion into inventory and pricing applications, working closely with Data Scientists and Machine Learning Engineers for seamless integration
Ensure data quality and compliance with regulatory and business requirements
Build and manage outbound data integrations to customer systems, ensuring accuracy and reliability
Document data workflows and provide clear communication to stakeholders
Implement monitoring for data ingestion jobs and take corrective action should they fail
Provide constructive feedback to the Product & Engineering teams on data ingestion and integration
Contribute to data ingestion best practices & generalised tools to maximise the efficiency of the Professional Services team

Skills

Key technologies and capabilities for this role

Data PipelinesData TransformationData IngestionData IntegrationData QualityMonitoringETL

Questions & Answers

Common questions about this position

What technical skills are required for this Data Engineer role?

Required technical skills include proficiency in Python and DBT for data transformation, expertise in SQL and Snowflake, familiarity with ETL processes, data integration tools, API-based integrations, and experience with cloud platforms like AWS, Azure, or GCP.

What soft skills are needed for this position?

Key soft skills include excellent communication and interpersonal skills for customer stakeholders, ability to translate technical solutions into business-friendly language, strong problem-solving skills, attention to detail, and familiarity with compliance and security protocols.

What is the company culture like at UiPath?

UiPath values curious, self-propelled, generous, and genuine people who thrive in a fast-moving, fast-thinking growth company and care about each other, the company, and its larger purpose of transforming the world through automation.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Data Engineer position?

A strong candidate has proficiency in the listed technical skills like Python, DBT, SQL, Snowflake, and cloud platforms, excellent soft skills for customer collaboration, and experience with inventory/pricing systems as a plus; passion for client-centric data solutions is ideal even if not all boxes are ticked.

UiPath

Robotic process automation software solutions

About UiPath

UiPath provides robotic process automation (RPA) solutions that help businesses improve their efficiency by automating repetitive tasks. Their software allows organizations to create AI-driven workflows and manage these processes through cloud-based orchestration. This means that users can set up automated tasks that run without human intervention, which helps to lower operational costs and boost productivity. What sets UiPath apart from its competitors is its extensive marketplace for third-party integrations, allowing users to enhance their automation capabilities with additional tools and solutions. The main goal of UiPath is to empower organizations to streamline their operations and focus on more strategic activities by reducing the time spent on mundane tasks.

New York City, New YorkHeadquarters

2005Year Founded

$1,936.8MTotal Funding

IPOCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Flexible Work Hours

Remote Work Options

Risks

Rapid AI agent evolution may outpace UiPath's current RPA offerings.

High implementation costs and rigidity of traditional RPA tools could deter clients.

Emergence of platforms like Salesforce's Agentforce may provide competitive alternatives.

Differentiation

UiPath offers AI-driven workflows enhancing business efficiency through intelligent automation.

The company provides robust governance and multiple robots on a single virtual machine.

UiPath's marketplace for third-party integrations expands its ecosystem and customer solutions.

Upsides

UiPath leads the 2024 Everest Group automation assessment, showcasing industry leadership.

The launch of AI Trust Layer enhances governance of GenAI features across the platform.

Collaboration with The Bank of East Asia expands UiPath's enterprise automation solutions.

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