Senior Data Engineer (Team Lead)

New
J
JobgetherData Engineering
IndiaFull-TimeLead
Salary not disclosed
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Job Details

Experience
6+ years
Required Skills
Cloud ComputingHadoopApache KafkaSparkBigQueryDistributed Systems

Requirements

  • 6+ years of professional experience in data engineering, including recent experience leading technical teams.
  • Strong expertise in Apache Kafka, Apache Spark, and Hadoop ecosystems.
  • Hands-on experience designing and maintaining scalable data pipelines and distributed processing systems.
  • Experience working with cloud data platforms, with BigQuery experience considered highly desirable.
  • Proven success delivering complex data engineering solutions in large-scale environments.
  • Strong debugging, troubleshooting, performance optimization, and analytical problem-solving skills.
  • Experience mentoring engineers, managing workflows, and supporting team development.
  • Excellent communication and leadership skills with the ability to collaborate across technical and business teams.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Responsibilities

  • Leading a team of data engineers while actively contributing to the design and development of advanced data pipelines.
  • Architecting, implementing, and optimizing large-scale streaming and batch data solutions using technologies such as Kafka, Spark, and Hadoop.
  • Managing the deployment, monitoring, and optimization of data infrastructure to ensure performance, reliability, and scalability.
  • Collaborating with product, analytics, and engineering teams to understand data requirements and define effective data strategies.
  • Coaching and mentoring engineers while promoting strong engineering practices, collaboration, and continuous improvement.
  • Establishing and maintaining best practices for data governance, security, compliance, and data quality.
  • Identifying opportunities to improve data engineering processes, tooling, and technical standards.
  • Supporting architectural decisions and ensuring solutions align with business and technical objectives.
  • Communicating technical solutions, progress, and challenges effectively with both technical teams and stakeholders.
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