Data Engineer 2

Jones Lang LaSalle Incorporated; Hinoba-an; On-site; PHP 795,000 - 1,193,000; Full time

Job summary

Jones Lang LaSalle Incorporated Bengaluru is seeking a data engineer to design, build and maintain cloud-based data infrastructures, pipelines and APIs. You will collaborate with data scientists and product teams to deliver scalable solutions and dashboards for business users.

Requirements include a Bachelor's in CS/Engineering and 3-5 years in data engineering or full-stack dev, with cloud experience (AWS/Azure/GCP), Spark, PySpark, SQL, and modern web tech.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• 3–5 years of data engineering and full-stack development experience.
• Production end-to-end shipping experience.

Responsibilities

• Design and maintain scalable cloud data infrastructure using SQL and PySpark.
• Build data pipelines to move data to lakes, warehouses, and analytics.
• Develop REST APIs and microservices for data products.
• Create dashboards and UI tools for business stakeholders.
• Collaborate with cross-functional teams and ensure data quality.

Skills

Python

SQL

PySpark

Databricks

REST APIs

React

JavaScript/TypeScript

HTML/CSS

CI/CD

Docker

Kubernetes

AWS

Azure

GCP

Data Visualization

Education

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or related field

Tools

Spark

REST API frameworks

CI tools

Job description

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.

What the Job Involves

Responsibilities

• Design, develop, and maintain scalable and efficient cloud-based data infrastructure using SQL and PySpark
• Design and implement efficient data pipeline frameworks, ensuring the smooth flow of data from various sources to data lakes, data warehouses, and analytical platforms
• Build and operate secure, well-documented REST APIs and microservices that expose curated data products to downstream applications
• Develop responsive, accessible web interfaces dashboards, data exploration tools, and internal applications that make engineered data usable to business stakeholders
• Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion architecture
• Troubleshoot and resolve issues related to data processing, data quality, data pipeline performance, and application behavior
• Stay updated with emerging technologies, tools, and best practices in cloud data engineering, SQL, PySpark, and modern web application development
• Collaborate with data scientists, analysts, product managers, and other stakeholders to understand requirements and deliver solutions that meet their needs
• Document data infrastructure, data pipelines, ETL processes, API contracts, and application architecture, ensuring knowledge transfer and smooth handovers
• Create complex automated tests across data, service, and UI layers and integrate them into testing frameworks

Requirements

• Education & Experience: Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related field (Master's degree preferred)
• Minimum 3-5 years of experience in data engineering and full-stack development, with a focus on cloud-based environments
• Demonstrated experience shipping at least one production application end to end from data ingestion through API to user interface

Technical Skills

• Strong expertise in managing big data technologies (Python, SQL, PySpark, Spark) with a proven track record of working on large-scale data projects
• Strong Databricks experience
• Strong experience in designing and implementing data pipelines, ETL processes, and workflow automation
• Strong database/backend testing with the ability to write complex SQL queries for data validation and integrity
• Strong streaming and real-time API/service validation including automation
• Proficiency building REST APIs and microservices, including experience with automated web services (WSDL) and microservices (REST) using custom scripts and assertions for data validation and data-driven testing
• Working proficiency with a modern JavaScript/TypeScript front-end framework (React preferred) including component architecture and state management
• Solid command of HTML, CSS, and responsive layout, with awareness of accessibility standards (WCAG)
• Experience with data visualization libraries (e.g., D3, Recharts, Plotly) or BI embedding
• Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Proficiency in object-oriented programming and software design patterns
• Experience working in DevOps model, including installing, configuring, and integrating automation scripts on continuous integration tools (CI/CD) and GitHub for real-time test suite execution and troubleshooting
• Experience with Unit, Functional, Integration, User Acceptance, System, and Security testing of data pipelines and web applications
• Familiarity with data warehousing concepts, dimensional modeling, data governance best practices, and cloud-based data warehousing platforms (e.g., AWS Redshift, Google BigQuery, Snowflake)
• Familiarity with containerization and deployment patterns (e.g., Docker, Kubernetes, serverless)
• Familiarity with cutting-edge AI technologies and demonstrated ability to rapidly learn and adapt to emerging concepts and frameworks

Core Competencies

• Strong problem-solving skills and ability to analyze complex data processing and application issues
• Ability to reason across layer boundaries — diagnosing whether an issue originates in the pipeline, the service, or the interface
• Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams
• Attention to detail and commitment to delivering high-quality, reliable data solutions
• Ability to adapt to evolving technologies and work effectively in a fast-paced, dynamic environment

Location: On-site – Bengaluru, KA

Scheduled Weekly Hours: 40

Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at [e-mail]. This email is only to request an accommodation.

At JLL, we give you the opportunity, knowledge and tools to own your success, because we value what makes each of us unique. We help our people thrive, grow meaningful careers and find a place where they belong. Together, we strive to be exceptional and shape a better world. For over 200 years, JLL (NYSE: JLL), a leading global commercial real estate and investment management company, has helped clients buy, build, occupy, manage and invest in a variety of commercial, industrial, hotel, residential and retail properties. A Fortune 500 company with operations in over 80 countries around the world, our employees bring the power of a global platform combined with local expertise. Driven by our purpose to shape the future of real estate for a better world, we help our clients, people and communities SEE A BRIGHTER WAYSM.

JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, visit jll.com.