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Lead Data Engineer
4 weeks ago
Seeking for a Lead data Engineer with a wealth of knowledge in managing legacy SQL Server installations and creating ETL procedures with PySpark Notebooks and Microsoft Fabric. The ideal applicant will have a solid foundation in Spark-based development, exhibit a high level of SQL competence, and feel at ease working both independently and in teams, as well as managing other developers when necessary.
Lead Data Engineer (Data Fabric) || (10-13 Y) || Hyderabad (Hybrid) || Quick Joiner ||
This role is critical and requires resources to have adequate hands on exp in MS Fabric in Projects and should be reflective in the resume too.
Scope of Work :
- Design, develop, and maintain ETL pipelines using PySpark Notebooks and Microsoft Fabric.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver efficient data solutions.
- Migrate and integrate data from legacy SQL Server environments into modern data platforms.
- Optimize data pipelines and workflows for scalability, efficiency, and reliability.
- Provide technical leadership and mentorship to junior developers and other team members.
- Troubleshoot and resolve complex data engineering issues related to performance, data quality, and system scalability.
- Develop, maintain, and enforce data engineering best practices, coding standards, and documentation.
- Conduct code reviews and provide constructive feedback to improve team productivity and code quality.
- Support data-driven decision-making processes by ensuring data integrity, availability, and consistency across different platforms.
Requirements :
- Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field.
- Experience with Microsoft Fabric or similar cloud-based data integration platforms - any (SAP HANA Cloud / Databricks DIP / Vertex AI / SnowFlake / Dataiku / IBM Watson Studio / Dataloop, etc.) is a must.
- 10+ years of experience in data engineering, with a strong focus on ETL development using PySpark or other Spark-based tools.
- Proficiency in SQL with extensive experience in complex queries, performance tuning, and data modeling.
- Strong knowledge of data warehousing concepts, ETL frameworks, and big data processing.
- Familiarity with other data processing technologies (e.g., Hadoop, Hive, Kafka) is an advantage.
- Experience working with both structured and unstructured data sources.
- Excellent problem-solving skills and the ability to troubleshoot complex data engineering issues.
- Proven ability to work independently, as part of a team, and in leadership roles.
- Strong communication skills with the ability to translate complex technical concepts into business terms.
Highly Desired Skills :
- Experience with Azure Data Services, including Azure Data Factory, Azure Synapse, or similar tools.
- Knowledge of scripting languages (e.g., Python, Scala) for data manipulation and automation.
- Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plu
