Lead Engineer - Data

New
Listing locations: IndiaFull-TimeLead
Salary not disclosed
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Job Details

Experience
Minimum 10 years of experience in data engineering or related roles, with at least 2+ years in a leadership or engineering management capacity.
Required Skills
AWSPythonSQLGCPApache KafkaData engineeringData modelingDatabricks

Requirements

  • Minimum 10 years of experience in data engineering or related roles.
  • 2+ years in a leadership or engineering management capacity.
  • Proficiency in Python and SQL.
  • Experience with version control systems like Git.
  • Hands-on experience with Cloud Data Engineering (AWS/GCP), Databricks, Delta Lake, and lakehouse architectures.
  • Strong understanding of data warehouse concepts, star/snowflake schemas, and data modeling.
  • Experience with real-time data streaming technologies like Apache Kafka or AWS Kinesis.
  • Familiarity with Agile methodologies.
  • Strong communication and collaboration skills.

Responsibilities

  • Lead and mentor a team of data engineers, fostering growth, collaboration, and technical excellence.
  • Architect, design, and implement scalable data pipelines and processing systems using modern cloud services.
  • Establish and enforce data engineering best practices, standards, and governance frameworks.
  • Collaborate with business stakeholders to understand data needs and deliver actionable solutions.
  • Drive the technical vision and roadmap for data infrastructure and platforms.
  • Optimize data workflows for performance, reliability, and cost efficiency.
  • Conduct code reviews, ensuring scalable and maintainable solutions.
  • Support pre-sales engagements, including technical solutioning and proposal development.
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