Technical Lead Cum Manager Data Engineer

2 days ago

Noida Uttar Pradesh India Avivys Consulting Services Full time ₹ 12,00,000 - ₹ 36,00,000 per year

AVIVYS is a platform where talent meets opportunities to unlock their potential. A place to learn, upskill, showcase their talents, gain CV points & get hired while unlocking their true potential. This enables professionals to eventually get hired by their dream employers. AVIVYS believes that you can unlock your dreams with genuine efforts What You'll DoLead and manage a team of data engineers, driving delivery across multiple projects.Architect and implement scalable, high -performance data pipelines using Snowflake, dbt, and Airflow.Apply and guide others in using distributed systems and queueing technologies like Celery, Redis, or equivalents.Own the end -to -end data lifecycle: ingestion, modeling, transformation, and delivery.Partner with cross -functional teams (product, analytics, DevOps) to meet business data needs.Implement engineering standards for code quality and performance.Conduct regular 1:1s, technical reviews, and provide mentorship to team members.Take initiative in capacity planning, hiring, and team scaling decisions.What We're Looking For : - years of hands -on experience in data engineering. 2+ years of formal team leadership experience, including people management and project ownership. Advanced knowledge of: Snowflake for warehousing and performance tuning. dbt for modular data modeling and testing. Apache Airflow (or similar workflow orchestrators). Distributed task and caching tools like Celery, Redis, or equivalents. Python, SQL, and shell scripting. Experience with cloud platforms such as AWS, Azure, or GCP. Strong grasp of software development best practices, CI/CD, and data observability. Preferred Qualifications Experience with real -time data streaming (e.g., Kafka). Familiarity with Terraform or other infrastructure -as -code tools. Prior experience in startup or high -growth environments. Exposure to BI platforms (e.g., Power BI, Looker, Tableau).

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