Consultant Data Engineer - 5+ Year- Bangalore/Hyderabad/Gurgaon

We are looking for an experienced Data Engineer with expertise in Azure Databricks to design, build, and optimize scalable data solutions. This role involves developing modern data pipelines, implementing Lakehouse architecture, and collaborating with cross-functional teams to deliver enterprise-wide analytics solutions.

Location Bengaluru / Hyderabad / Gurugram

Your Future Employer A leading global technology and analytics consulting organization focused on delivering innovative data engineering, AI, and cloud transformation solutions to enterprise clients.

Responsibilities –

1. Design and develop scalable data pipelines using PySpark, Spark SQL, and Azure Databricks.
2. Build and manage ETL workflows using Azure Data Factory (ADF).
3. Develop and maintain Lakehouse architecture using Azure Data Lake Storage (ADLS) and Databricks.
4. Ensure data quality through data cleansing, transformation, monitoring, and issue resolution.
5. Collaborate with DevOps, Data Science, and BI teams to deliver high-quality analytics solutions.

Requirements –

1. Minimum 6 years of experience in Data Engineering.
2. Strong hands-on experience with Azure Databricks, Azure Data Factory (ADF), and ADLS.
3. Proficiency in PySpark, Spark SQL, and advanced SQL.
4. Solid understanding of ETL processes, data pipeline development, and data transformation.
5.



Experience working in cloud-based analytics environments with strong problem-solving skills.

What is in it for you –

1. Opportunity to work on large-scale cloud and data engineering projects.
2. Exposure to modern Azure and Lakehouse technologies.
3. Collaborative and innovation-driven work environment.
4. Excellent career growth and learning opportunities.
5. Competitive compensation and comprehensive advantages.

Reach Us –If you think this role is aligned with your career aspirations, kindly share your updated CV at [email protected] for a confidential discussion on the opportunity.

Disclaimer We specialize in Senior to C-Level niche recruitment. We are committed to providing equal employment opportunities and do not discriminate on the basis of race, religion, gender, age, disability, or any other protected status.

Note –Due to the high volume of applications received, only shortlisted candidates will be contacted. If you do not hear from us within one week, please consider that your profile has not been shortlisted.

Profile Keywords –Data Engineer , Azure Databricks, Azure Data Factory, ADF, ADLS, PySpark, Spark SQL, ETL Developer, Azure Data Engineer, Lakehouse, Cloud Data Engineer, Big Data Engineer, SQL Developer, Analytics Jobs, Data Engineering Careers

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