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Job Description

Job Description :


Key Responsibilities :


- Lead and mentor a team of data engineers, ensuring high performance and career growth.


- Architect and optimize scalable data infrastructure, ensuring high availability and reliability.


- Drive the development and implementation of data governance frameworks and best practices.


- Work closely with cross-functional teams to define and execute a data roadmap.


- Optimize data processing workflows for performance and cost efficiency.


- Ensure data security, compliance, and quality across all data platforms.


- Foster a culture of innovation and technical excellence within the data team.


Required Skills & Experience :


- 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.


- Proficiency in SQL, Python, and Scala for data processing and analytics.


- Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.


- Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.


- Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery


- Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).


- Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.


- Proven ability to drive technical strategy and align it with business objectives.


- Strong leadership, communication, and stakeholder management skills.


Preferred Qualifications :


- Experience in machine learning infrastructure or MLOps is a plus.


- Exposure to real-time data processing and analytics.


- Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture.


- Prior experience in a SaaS or high-growth tech company.

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