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Job Responsibilities:

  • Lead the development and implementation of booking and CMS data features according to the roadmap.
  • Build, optimize, and manage robust data pipelines and ETL/ELT processes using tools like Airflow, DBT, and Databricks.
  • Oversee infrastructure and storage layers across distributed systems (e.g., Cassandra, MongoDB, Postgres), ensuring scalability, availability, and performance.
  • Support and partner with Data PMs to deliver clean, actionable data for reporting, analytics, and experimentation.
  • Handle client data queries, investigate anomalies, and proactively improve data quality and debugging workflows.
  • Manage a team of data engineers and analysts: provide architectural direction, review code, and support career growth.
  • Collaborate with DevOps/Platform teams on deployment, monitoring, and performance optimization of data services.
  • Champion best practices in data governance, version control, security, and documentation.

Basic Qualifications:

  • 8+ years of experience in data engineering or analytics engineering with a strong focus on both data modeling and infrastructure.
  • 2+ years of experience of managing and guiding data team to realize complicated data features.
  • Proficient in SQL, Python, and working with modern data stack tools (e.g., DBT, Databricks, Airflow).
  • Experience managing distributed and NoSQL databases (e.g., Cassandra, MongoDB), and cloud data warehouses (e.g., Snowflake, BigQuery).
  • Strong understanding of scalable data architecture and real-time streaming pipelines is a plus.
  • Experience in leading teams, setting code standards, and mentoring junior developers.
  • Ability to translate business requirements into scalable, maintainable data systems.
  • Familiarity with booking platforms, CMS architectures, or event-based tracking systems is a plus!

Job Summary

CompanyShyftLabs
LocationNoida, Uttar Pradesh
TypeFull-Time
LevelLead
DomainOther