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Key Responsibilities:-
- Build python libraries and modules which will enable highly scalable data processing pipeline for various applications such as Bulk Ingestion, Real Time Streaming Applications and AI/ML based insights
- Build applications and write code that meets the high-quality standards and scale horizontally in a cloud environment
- Collaborating with the Dev Leads and Product Manager to ensure that the requirements are meet
- Ensure applications are tested through usage of automated test tools
- Delivering well instrumented system that provides insights in Operational Metrics and helps in resolving issues
- Utilize Agile practices to manage and delivers features.
Qualifications And Experiences:-
- Expert in Python programming and using Python to build data products.
- Expert in using python to read/write/manipulate large complex datasets in different input/output formats ( json, csv, avro, parquet )
- Expertise in Python libraries such as NumPy, Pandas, Faker, etc
- Proficiency in writing and understanding SQL and SQL joins.
- Exposure to data anonymization and obfuscation techniques.
- Good knowledge of Flask or similar Python frameworks
- Experience in understanding, supporting and refactoring complex python code.
- Expert in Python based test frameworks.
- Experience building python modules, libraries and pip packages.
- Knowledge of schema definition such as AVRO, Thrift, Protocol Buffers and Parquet
- Experience building test automation for data loading, performance and API validation
- Exposure to Stream Analysis and ML with tools such as Spark/PySpark, Apache Flink, etc
- Experience with building instrumented, scalable, highly available, and secure systems
- Experience with one or more public clouds (AWS, GCP, Azure)
- 2+ years of hands on Python development
- BS in EE or CS
Technical Skills & Competencies:-
- Experience with serverless technologies such as Azure Functions.
- Experience with one or more public clouds such as Azure, AWS and GCP.
- Experience with containerizing applications using Docker and deploying Helm Charts to Kubernetes clusters.
- Experience with DevOps tools such as GitHub Actions, Azure DevOps, Travis CI, and Jenkins.
Location:-
- Bengaluru, India.
Company Overview:-
JLL (NYSE: JLL) is a leading professional services firm that specializes in real estate and investment management. JLL shapes the future of real estate for a better world by using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people and our communities. JLL is a Fortune 500 company with annual revenue of $16.6 billion, operations in over 80 countries and a global workforce of more than 91,000 as of December 31, 2020. JLL is the brand name, and a registered trademark, of Jones Lang LaSalle Incorporated. For further information, visit jll.com.