DE&A - Core - Cloud Data Engineer Professional
Zensar Technologies (company site, opens in a new tab)12+ yrsPuneOn-siteDirect career pageEst. 22–38 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise data platforms including Data Lake, Data Warehouse, and Lakehouse architectures on cloud environments.
- Ensure data quality, governance, and compliance with established data validation, cleansing, and metadata management standards.
- Optimize data platform performance, implement CI/CD pipelines, and collaborate with stakeholders including data architects, analysts, and data scientists for analytics and AI/ML use cases.
Minimum Requirements
- 12+ years of experience in Data Engineering, Data Warehousing, or Big Data environments.
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or related field; Master's degree preferred.
- Proficiency with programming languages (Python, SQL; Java preferred) and cloud platforms such as Microsoft Azure, AWS, or GCP.
- Experience with data engineering tools (Apache Spark, Databricks, dbt) and data platforms (Snowflake, Azure Synapse, Redshift, BigQuery).
Ideal Candidate Profile
- Experienced leader capable of owning complex, large-scale data platform projects in enterprise cloud environments with a focus on performance and reliability.
- Strong collaboration skills to engage cross-functional teams including data architects, BI developers, and data scientists for delivering analytics and AI-driven solutions.
- Demonstrated expertise in data governance, data quality management, and implementing automated DevOps practices for data engineering workflows.