Data Engineer 2
Jones Lang LaSalle Incorporated2 months ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design, develop, and maintain scalable cloud-based data infrastructure using SQL and PySpark.
- Build data pipelines that move data from source systems to data lakes, data warehouses, and analytical platforms.
- Develop and operate secure REST APIs and microservices exposing curated data products.
- Create responsive web interfaces, dashboards, data exploration tools, and internal applications.
- Define data ingestion architecture and collaborate with cross-functional and global technology teams.
- Troubleshoot data processing, data quality, pipeline performance, service, and application issues.
- Document data infrastructure, pipelines, ETL processes, API contracts, and application architecture.
- Create and integrate automated tests across data, service, and user-interface layers.
- Collaborate with data scientists, analysts, product managers, and other stakeholders to deliver required solutions.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related field is required; a master's degree is preferred.
- Requires 3–5 years of experience in data engineering and full-stack development, focused on cloud-based environments.
- Demonstrated experience shipping at least one production application end to end from data ingestion through API to user interface.
- Strong expertise with Python, SQL, PySpark, Spark, Databricks, large-scale data projects, data pipelines, ETL processes, and workflow automation.
- Experience with database and backend testing, complex SQL validation, streaming and real-time API or service validation, and automated testing.
- Proficiency building REST APIs and microservices, including WSDL-based web services and data-driven testing.
- Working proficiency with JavaScript or TypeScript front-end frameworks, preferably React, including component architecture and state management.
- Strong HTML and CSS skills, responsive layout knowledge, and awareness of WCAG accessibility standards.
- Experience with data visualization libraries such as D3, Recharts, or Plotly, or with BI embedding.
- Experience with AWS, Microsoft Azure, or Google Cloud Platform.
- Experience with object-oriented programming, software design patterns, DevOps practices, GitHub, and continuous integration tools.
- Experience with unit, functional, integration, user acceptance, system, and security testing for data pipelines and web applications.
- Familiarity with data warehousing, dimensional modeling, data governance, AWS Redshift, Google BigQuery, or Snowflake.
- Familiarity with Docker, Kubernetes, or serverless deployment patterns.
- Familiarity with AI technologies and the ability to learn emerging concepts and frameworks.
- Strong problem-solving, communication, collaboration, analytical, and adaptability skills.
Benefits
- The role is on-site in Bengaluru, Karnataka, with a scheduled workweek of 40 hours.
- JLL is an equal opportunity employer and provides reasonable accommodations during the employment process.
Tech Stack
Amazon RedshiftApache SparkAWSAzureCSSD3.jsDatabricksDockerGoogle BigQueryGoogle Cloud PlatformHTMLJavaScriptKubernetesPythonReactSnowflakeSQLTypeScript
Categories
Data EngineeringFull Stack
About Jones Lang LaSalle Incorporated
JLL is a global commercial real estate services and investment management firm serving occupiers and investors. It provides property and facilities management, leasing and tenant representation, capital markets, project and development services, workplace strategy, sustainability, and real estate technology and analytics, with a fee- and commission-based advisory, outsourcing, transaction, and management-fee model. Headquartered in Chicago, it is a public company listed on the NYSE (JLL).