Sr Data Engineer

Senior Data Engineer

Data Engineering

JLL/Technologies Centre of Expertise (JLLT CoE) (Bangalore)

What this job involves:

About the role

#JLLTechAmbitions

• We are looking for a Senior Data Engineer who is self-starter to work in a diverse and fast-paced environment that can join our Enterprise Data team.
• This is an individual contributor role that is responsible for designing and developing of data solutions that are strategic for the business and built on the latest technologies and patterns.
• This a global role that requires partnering with the broader JLLT team at the country, regional and global level by utilizing in-depth knowledge of data, infrastructure, technologies and data engineering experience.

Responsibilities

• Develops and maintains scalable data pipelines and builds out new integrations to support continuing increases in data volume and complexity.
• Collaborates with business teams
• Implements processes and systems ensure production data is always accurate and available for key stakeholders and business processes that depend on it.
• Writes unit/integration tests, contributes to Data integrity, and documents work.
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Works closely with a team of frontend and backend engineers
• Contributing towards creating the reusable code which can be used across Systems
• Support the ongoing Production jobs as an when required

Sounds like you? To apply you need to be:

Experience & Education

•  Bachelor’s degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. 

•  Minimum of 5 years of experience as a data developer using Python, PySpark, Spark Sql, ETL knowledge, SQL Server, ETL Concepts

•  Experience in Azure Cloud Platform, Databricks

•  Experience in Azure Storage

•  Excellent technical, analytical and organizational skills.

•   Effective written and verbal communication skills, including technical writing.

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

What we can do for you

You’ll join an entrepreneurial, inclusive culture. One where we succeed together – across the desk and around the globe. Where like-minded people work naturally together to achieve great things.

Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay.

Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sights and imagine where JLL can take you...

Apply today!

Location:

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

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