Posted on: 30/10/2025
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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Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1567671
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