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Job Overview:
The Senior Big Data engineering lead will play a pivotal role in designing, implementing, and optimizing large-scale data processing and analytics solutions. This role requires a visionary leader who can drive innovation, define architecture strategy, and ensure the scalability and efficiency of our big data infrastructure.
- Key Responsibilities
- Lead the design and development of a robust and scalable big data architecture handling exponential data growth while maintaining high availability and resilience.
- Design complex data transformation processes using Spark and other big data technologies using Scala, Pyspark
- Design and implement data pipelines that ensure data quality, integrity, and availability.




- Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
- Evaluate and select technologies that improve data efficiency, scalability, and performance.
- Oversee the deployment and management of big data tools and frameworks such as Hadoop, Spark, Kafka, and others.
- Provide technical guidance and mentorship to the development team and junior architects.
- Continuously assess and integrate emerging technologies and methodologies to enhance data processing capabilities.
- Optimize big data frameworks, such as Hadoop, Spark, for performance improvements and reduced processing time across distributed systems.
- Innovate in designing, developing, and refining data pipeline architectures to enhance data flow and ensure data processing capabilities.
- Implement data governance frameworks to ensure data accuracy, consistency, and privacy across the organization, leveraging metadata management and data lineage tr

📌 Application Development Technical Lead Analyst (Chennai)
🏢 Citi
📍 Chennai