Data Engineer 2
Jones Lang LaSalle Incorporated8 days ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design and implement complete ETL/ELT workflows using intermediate to advanced data engineering techniques.
- Build and modify CI/CD pipelines for data processing workflows.
- Develop data ingestion capabilities from APIs, databases, and file systems.
- Implement production data validation, error handling, monitoring, and performance optimization.
- Apply AI and automation patterns to improve data workflow efficiency and scalability.
- Develop reusable Python components and frameworks using decorators, generators, and design patterns.
- Translate business requirements into technical data engineering solutions and support strategic decision-making.
- Apply data modeling and data warehousing concepts, design database schemas, and define data integration patterns.
- Use cloud services to build scalable data solutions and optimize storage and retrieval for performance and cost.
- Collaborate with product managers, analysts, senior engineers, and other stakeholders in scrum and cross-functional teams.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Mathematics, Statistics, or a related quantitative discipline.
- 2–5 years of experience in data engineering, data development, or a related technical field.
- Proven experience building ETL or data pipelines in production environments.
- Intermediate Python skills, including decorators, generators, and object-oriented programming.
- Solid SQL proficiency with query optimization and performance-tuning experience.
- Experience with data orchestration platforms such as Airflow, Azure Data Factory, SSIS, or similar tools.
- Familiarity with Apache Spark, PySpark, or similar distributed processing frameworks.
- Hands-on experience with Azure, AWS, or GCP data services, including technologies such as Databricks, Azure Functions, or Delta Lake.
- Familiarity with semantic-layer tools such as CubeJS or similar solutions.
- Understanding of CI/CD for data pipelines, software design patterns, AI and automation tools, and their integration into data workflows.
- Experience with agile development methodologies, cross-functional collaboration, stakeholder communication, and scalable data architecture.
Benefits
- Opportunities to work on enterprise-scale data engineering projects incorporating AI and automation.
- Technical growth opportunities in data solutions, cloud technologies, and cross-functional collaboration.
- JLL Total Rewards program covering career development, recognition, well-being, benefits, and pay.
- On-site role in Bengaluru, Karnataka, with 40 scheduled hours per week.
- JLL encourages candidates to apply even if they do not meet every listed requirement.
Tech Stack
Categories
Data Engineering
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).