Data Engineer-5+ years- Bangalore / Hyderabad/Gurgaon

Exciting opportunity for an experienced

Data Engineer (Databricks) to join a leading global AI & Analytics organization. Looking for professionals with strong expertise in

Azure Databricks, PySpark, ADF, SQL, and ETL pipelines to build scalable enterprise data solutions.

Location: Bengaluru

Your Future Employer: Our client is a globally recognized AI & Analytics company known for delivering cutting-edge data solutions, advanced analytics, data engineering, governance, MLOps, and Generative AI innovations to leading organizations worldwide.

Responsibilities: 1. Design and develop scalable data pipelines using

PySpark & Spark SQL on Azure Databricks 2. Build and orchestrate ETL workflows using

Azure Data Factory (ADF) 3. Develop and maintain Lakehouse architecture using

ADLS & Databricks 4. Perform data cleansing, normalization, deduplication, and transformations 5. Monitor data pipelines, troubleshoot issues, and ensure smooth production support 6. Collaborate with BI, Data Science, and DevOps teams on enterprise analytics initiatives

Requirements: 1. 5+ years of experience in Data Engineering 2. Strong hands-on experience with

Azure Databricks, Azure Data Factory, ADLS 3. Expertise in

PySpark, Spark SQL, SQL, ETL Development 4. Good understanding of data architecture and cloud platforms 5. Strong communication and stakeholder management skills 6. Immediate to short notice candidates preferred

What is in it for you - 1. Opportunity to work with a leading AI & Analytics brand 2. Exposure to enterprise-scale cloud data projects 3. High-growth learning environment with latest technologies

Reach Us : If you think this role is aligned with your career, kindly write me an email along with your updated CV on

Vineet.wadhwa@crescendogroup.in for a confidential discussion on the role.

Disclaimer : Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate based on race, religion, colour, origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Note : We receive many applications daily, so it becomes difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated. Scammers can misuse Crescendo Globals name for fake job offers. We never ask for money, purchases, or system upgrades. Verify all opportunities at

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Keywords : Data Engineer, Azure Databricks, PySpark , Azure Data Factory, ADF, ADLS, SQL, ETL Developer, Spark SQL, Lakehouse, Azure Cloud, Big Data, Data Pipeline, Analytics Engineer, Cloud Data Engineer