Lead Data Engineer

10 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role & 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.

Ideal Candidate

  • 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.
  • Tier - 1 Colleges candidates preferred.

  • Expertise in backend development with programming languages such as

    Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.Candi</strong>date should be from Tier - 1 Colleges, preferred IITProficiency inSQL, Python, and Scala for data processing and analytics.Strong understanding ofcloud platforms (AWS, GCP, or Azure)and their data services.Strong foundation and expertise inHLD and LLD, as well as design patterns, preferably using Spring Boot or Google GuiceExperience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.Hands-on experience with data warehousing solutions such asSnowflake, Redshift, or BigQueryDeep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).Experience inNoSQL databases like Redis, Cassandra, MongoDB, and TiDB.Familiarity with automation andDevOpstools likeJenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.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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