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Strong Tier-1 brand, mid-level generalist data engineer role in Gurgaon with broad cloud and Databricks requirements.
Core Databricks, PySpark, SQL and cloud data engineering skills are highly transferable across industries.
Explicit 2+ years requirement plus mandatory Databricks, PySpark, cloud and ETL skills increases screening strictness.
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Design, develop, and maintain scalable data pipelines and engineering solutions using Databricks, PySpark, Python, and Advanced SQL for business reporting and analytics.
Build and optimize ETL/ELT pipelines and robust data models to process structured and semi-structured data with high quality and reliability.
Implement scalable, secure cloud data architectures on AWS and Azure, collaborating with stakeholders to translate business needs into technical data solutions.
Over 2 years of hands-on experience in Data Engineering, Data Warehousing, and large-scale data processing.
Strong expertise in Databricks/MS Fabric, Advanced SQL, Python, PySpark, Data Pipeline Development, and Data Modeling.
Bachelor's or Master's degree in Computer Science, IT, Engineering, or related field.
Work Experience Required: Over 2 years in relevant data engineering roles.
Experienced professional who can optimize Spark jobs and SQL workloads using Databricks best practices to improve platform performance.
Capable of designing cost-effective, secure cloud data architectures leveraging AWS, Azure, and Microsoft Fabric in enterprise environments.
Skilled in collaborating with cross-functional teams and translating complex business requirements into scalable, maintainable technical solutions.