▷ Urgent Search Data Engineer 2

5 days ago

Bengaluru, India Jones Lang Lasalle Property Consultants Full time

Job Description Responsibilities - Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements. - Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities. - Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate. - Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform. - Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org. - Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data. - Using PySpark and Spark SQL, extract, manipulate, and transform data from various sources, such as databases, data lakes, APIs, and files, to prepare it for analysis and modeling. - Build and optimize ETL workflows using Azure Databricks and PySpark. This includes developing efficient data processing pipelines, data validation, error handling, and performance tuning. - Perform the unit testing, system integration testing, regression testing and assist with user acceptance testing. - Articulates business requirements in a technical solution that can be designed and engineered. - Consults with the business to develop documentation and communication materials to ensure accurate usage and interpretation of JLL data. - Implement data security best practices, including data encryption, access controls, and compliance with data protection regulations. Ensure data privacy, confidentiality, and integrity throughout the data engineering processes. - Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Experience & Education - Minimum of 4 years of experience as a data developer using Python, PySpark, Spark Sql, ETL knowledge, SQL Server, ETL Concepts. - Bachelors degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. - Experience in Azure Cloud Platform, Databricks, Azure storage. - Effective written and verbal communication skills, including technical writing. - Excellent technical, analytical and organizational skills. Technical Skills & Competencies - Experience handling un-structured, semi-structured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven by events/queues - Hands on Experience and knowledge on real time/near real time processing and ready to code - Hands on Experience in PySpark, Databricks, and Spark Sql. - Knowledge on json, Parquet and Other file format and work effectively with them - No Sql Databases Knowledge like Hbase, Mongo, Cosmos etc. - Preferred Cloud Experience on Azure or AWS - Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc. - Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams.

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