Data Engineer

Mumbai, IN

Claroty

Claroty secures the Extended Internet of Things (XIoT) to achieve unmatched visibility, protection, and threat detection across all cyber-physical systems – OT, IoT, BMS, IoMT and more – in your environment.

View all jobs at Claroty

Apply now Apply later

Description

We’re growing and looking to hire a Data Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity, to join our regional APJ team. This skilled Data Engineer will help us build a robust, scalable, and efficient data warehouse solution using Databricks.

You will be working alongside cross-functional teams to design and implement the data architecture that powers insights and decisions across the organization.

The ideal candidate will have a strong background in data engineering, with expertise in cloud-based data platforms, ETL/ELT processes, and working with large-scale data sets. Familiarity with modeling and pipeline design is key.



About Claroty:   

Claroty has redefined cyber-physical systems (CPS) protection with an unrivaled industry-centric platform built to secure mission-critical infrastructure. The Claroty Platform provides the deepest asset visibility and the broadest, built-for-CPS solution set in the market comprising exposure management, network protection, secure access, and threat detection – whether in the cloud with Claroty xDome or on-premise with Claroty Continuous Threat Detection (CTD). Backed by award-winning threat research and a breadth of technology alliances, The Claroty Platform enables organizations to effectively reduce CPS risk, with the fastest time-to-value and lower total cost of ownership. Our solutions are deployed by over 1,000 organizations at thousands of sites across all seven continents.

A Great Place to Work® certified company, Claroty is headquartered in New York City with employees across the Americas, Europe, Asia-Pacific, and Tel Aviv. The company is widely recognized as the industry leader in CPS protection, with backing from the world’s largest investment firms and industrial automation vendors, recognized by KLAS Research as Best in KLAS for Healthcare IoT Security five years in a row, and ranking on the Forbes Cloud 100 and Deloitte Technology Fast 500 multiple consecutive years.



Responsibilities

As a Data Engineer, your impact will be:

  • Data Architecture Ownership: Proactively manage and enhance our data architecture, ensuring integration, data quality, and consistency across different systems. Familiarity with modeling and design principles will be key.
  • Data Pipeline Development: Create efficient and reliable ETL / ELT pipelines that move and transform data from source systems (Salesforce, NetSuite, Hubspot and other GTM platforms) into the data warehouse / lakehouse
  • Data Integration: Integrate data from various source systems into Databricks while ensuring data quality, consistency, and security
  • Documentation and Best Practices: Document processes, workflows, and architectures, ensuring that solutions are easily understood and maintainable. Follow industry best practices for data engineering.
  • Automation: Implement automated monitoring, error detection, and alerting to ensure the reliability and stability of the data warehouse.

Requirements

  • Education: Bachelor's degree in Computer Science, Engineering, Statistics, or a related field
  • Experience: 3+ years of hands-on experience in data engineering, with at least 1 year working specifically with Databricks or similar cloud-based platforms

Technical Skills:

  • Proficient in SQL and Python for data processing and transformation.
  • Strong experience with Databricks (Apache Spark, Delta Lake, etc.) and the Databricks environment.
  • Experience in building and managing ETL/ELT pipelines in Databricks.
  • Working knowledge of cloud data storage solutions (e.g., S3, ADLS, GCS).
  • Experience with data modeling, schema design, and query optimization.
  • Cloud Platforms: Experience with cloud environments (AWS, Azure, or GCP) and cloud services such as storage, compute, and orchestration (e.g., AWS S3, Azure Blob Storage, Google BigQuery).
  • Data Warehousing: Strong understanding of data warehousing concepts and best practices, including star/snowflake schema, partitioning, indexing, and data governance.
  • Problem-Solving: Ability to troubleshoot data issues, optimize query performance, and resolve data inconsistencies.
  • Integration of Source Systems: Experience with CRM and ERP systems (e.g., Salesforce, Netsuite, Hubspot) and data integration methodologies


Why Claroty? Our Culture and Benefits: 

  • As a Great Place to Work® certified company, we take pride in the culture we’ve built together—one rooted in camaraderie, credibility, fairness, and respect. 
  • Claroty is a people first company. With strong bonds amongst the team, we believe in prioritizing personal care and support over work, confident that results follow from a harmonious environment. We celebrate professional and personal successes, committed to fostering a diverse and inclusive space. 
  • Stability, we demonstrate continued growth over the past few years, raised over 700M$ from top tier investors, we have top tier board members and our products are sold worldwide, over 1000 customers. 
  • We understand the importance of maintaining a healthy work-life balance, and encourage people to take the time they need to rest and prioritize their mental and physical health. We also provide a biannual “ClaroBreak”, a company-wide long weekend shutdown so we can all rest, recharge and spend time with our loved ones.
  • We care about your development. At Claroty, we prioritize excellence and uphold high professional and ethical standards. We encourage career growth and exploration within the company, facilitated by biannual performance reviews, feedback sessions, and individual development planning, complemented by professional courses.
  • We believe in transparency and openness. That’s why we regularly hold company all-hands, town hall meetings, and “Coffee with the CEO” sessions. We also conduct round table sessions and employee satisfaction surveys, to keep a pulse on what matters most to our team members and make our culture the best it can be. 
  • While we have physical offices in New York, Tel Aviv, London and Singapore, we also embrace a hybrid working culture. This flexibility allows us to tap into a diverse talent pool and enables our team members to work in a way that suits their individual preferences and circumstances.  


Claroty is an equal-opportunity employer committed to fostering a diverse and inclusive work environment for all. We encourage applications from candidates of ALL diverse backgrounds, and special accommodations are available upon request in all selection phases.


You’re more than welcome to follow us on social media:

LinkedIn

Facebook 

Industry award

Latest news


Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  0  0  0
Category: Engineering Jobs

Tags: Architecture AWS Azure BigQuery Computer Science Databricks Data governance Data quality Data warehouse Data Warehousing ELT Engineering ETL GCP HubSpot Industrial Pipelines Python Research Salesforce Security Snowflake Spark SQL Statistics

Perks/benefits: Career development Health care Startup environment

Region: Asia/Pacific
Country: India

More jobs like this