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Data Infrastructure Specialist
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Job Title: Data Architect
">Job Description:
We are seeking a seasoned data architect to lead the development and implementation of our data infrastructure. The ideal candidate will have at least 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.
">The successful candidate should have expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.
">A strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services is essential.
">Proficiency in SQL, Python, and Scala for data processing and analytics is also required.
">A strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice, are necessary.
">Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks is desirable.
">Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery is also a plus.
">Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.) is required.
">Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB is also desired.
">Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK is necessary.
">The selected candidate will be responsible for driving technical strategy and aligning it with business objectives.
">Strong leadership, communication, and stakeholder management skills are also required.
">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.
