As a Senior Data Engineer, you will play a key role in designing and implementing data solutions @Kotak811.
- You will be responsible for leading data engineering projects, mentoring junior team members, and collaborating with cross-functional teams to deliver high-quality and scalable data infrastructure.
- Your expertise in data architecture, performance optimization, and data integration will be instrumental in driving the success of our data initiatives.
Responsibilities
- Data Architecture and Design:
- Design and develop scalable, high-performance data architecture and data models.
- Collaborate with data scientists, architects, and business stakeholders to understand data requirements and design optimal data solutions.
- Evaluate and select appropriate technologies, tools, and frameworks for data engineering projects.
- Define and enforce data engineering best practices, standards, and guidelines.
- Data Pipeline Development & Maintenance:
- Develop and maintain robust and scalable data pipelines for data ingestion, transformation,
and loading for real-time and batch-use-cases
- Implement ETL processes to integrate data from various sources into data storage systems.
- Optimise data pipelines for performance, scalability, and reliability.
- Identify and resolve performance bottlenecks in data pipelines and analytical systems.
- Monitor and analyse system performance metrics, identifying areas for improvement and implementing solutions.
- Optimise database performance, including query tuning, indexing, and partitioning strategies.
- Implement real-time and batch data processing solutions.
- Data Quality and Governance:
- Implement data quality frameworks and processes to ensure high data integrity and consistency.
- Design and enforce data management policies and standards.
- Develop and maintain documentation, data dictionaries, and metadata repositories.
- Conduct data profiling and analysis to identify data quality issues
📌 Senior Data Engineer (India)
🏢 Acura Solution
📍 India
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