11 - 14 years
18 - 33 Lacs
Posted:4 weeks ago|
Platform:
Hybrid
Full Time
An exciting opportunity to join a global corporate services leader and drive best-in-class data engineering solutions. As a Senior Data Engineer, you will be responsible for designing, developing, and implementing robust data pipelines, models, and architectures while ensuring seamless data integration and analytics for high-impact decision-making.
1. Design, develop, and optimize ELT pipelines and workflows for large-scale data integration.
2. Build and manage scalable data models, data warehouses, and analytics platforms.
3. Implement data quality, governance, and monitoring frameworks ensuring reliability and security.
4. Collaborate with cross-functional teams to gather requirements and deliver effective data solutions.
5. Maintain detailed technical documentation and ensure timely delivery of all technology artifacts.
1. 11+ years of professional experience in data engineering, with at least 4 years in cloud technologies.
2. Expertise in Azure Data Stack (Databricks, Data Lake Gen2, ADF) and proficiency in PySpark, Python, and SQL.
3. Strong experience in CI/CD, automation tools (Azure DevOps, Terraform, scripting).
4. Proven track record in data modeling, warehousing, and analytics solutions.
5. Excellent problem-solving, stakeholder communication, and organizational skills.
Crescendo Global Leadership Hiring India
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