Data Engineer Team Lead
2 weeks ago
Job Title: Data Engineer Team Lead
We are seeking a talented Data Engineer Team Lead to join our team at RWAVE Software Technologies Private Limited.
The ideal candidate will have a strong background in data engineering, with expertise in designing, developing, and maintaining large-scale data infrastructure.
Key Responsibilities:
- Data Architecture & Design:
- Lead the design and implementation of robust data architectures that support data warehousing (DWH), data integration, and analytics platforms.
- Develop and maintain ETL (Extract, Transform, Load) pipelines to ensure the efficient processing of large datasets.
- ETL Development:
- Design, develop, and optimize ETL processes using tools like Informatica Power Center, Intelligent Data Management Cloud (IDMC), or custom Python scripts.
- Implement data transformation and cleansing processes to ensure data quality and consistency across the enterprise.
- Data Warehouse Development:
- Build and maintain scalable data warehouse solutions using Snowflake, Databricks, Redshift, or similar technologies.
- Ensure efficient storage, retrieval, and processing of structured and semi-structured data.
- Big Data & Cloud Technologies:
- Utilize AWS Glue and PySpark for large-scale data processing and transformation.
- Implement and manage data pipelines using Apache Airflow for orchestration and scheduling.
- Leverage cloud platforms (AWS, Azure, GCP) for data storage, processing, and analytics.
- Data Management & Governance:
- Establish and enforce data governance and security best practices.
- Ensure data integrity, accuracy, and availability across all data platforms.
- Implement monitoring and alerting systems to ensure data pipeline reliability.
- Collaboration & Leadership:
- Work closely with data Stewards, analysts, and business stakeholders to understand data requirements and deliver solutions that meet business needs.
- Mentor and guide junior data engineers, fostering a culture of continuous learning and development within the team.
- Lead data-related projects from inception to delivery, ensuring alignment with business objectives and timelines.
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