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YipitData

Engineering Manager

YipitData

Data Engineering Manager leading data architecture and mentoring engineers at YipitData. Overseeing data solutions using AWS and Databricks with a focus on performance and cost efficiency.

Posted 7/21/2026full-time🇮🇳 IndiaSeniorLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading and mentoring data engineering teams while architecting end-to-end data solutions using AWS Data Services and Databricks. Proficient in optimizing data infrastructure performance and ensuring high data quality through best practices.

Highest-signal resume keywords
Data Engineering ManagementAWS Data ServicesPySparkETL PipelinesBig Data Ecosystems

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data EngineeringPythonData ModelingApache FlinkSnow Apache IcebergSparkHiveHadoopOrchestration ToolsProblem-Solving
Soft Skills
MentoringCollaborationLeadership
Tools & Technologies
DatabricksAWSData Infrastructure
Certifications & Qualifications
Bachelor's DegreeMaster's Degree
Industry Keywords
Data SolutionsData QualityPerformance OptimizationCross-Functional CollaborationStrategic Roadmap

Tech Stack

Tools & technologies
ApacheAWSETLHadoopPySparkPythonSpark

About the role

Key responsibilities & impact
  • Lead, mentor, and grow a team of data engineers
  • Architect and oversee the development of end-to-end data solutions using AWS Data Services and Databricks
  • Hire, onboard, and develop a high-performing team
  • Collaborate with cross-functional teams to understand requirements and deliver data products
  • Drive best practices in data engineering and ensure high data quality
  • Optimize performance and cost efficiency of data infrastructure
  • Own the end-to-end vision and strategic roadmap for various projects

Requirements

What you’ll need
  • 3+ years of managing data engineers
  • 5+ years of experience working with PySpark, Python
  • Experience with Data Bricks, Snow Apache Iceberg, Apache Flink, and various orchestration tools
  • Strong understanding of ETL pipelines and data modeling
  • Bachelor's or Master's degree in Computer Science, STEM, or a related technical discipline
  • 8+ years in data engineering including 2-3+ years managing 1-3 engineers
  • Proven hands-on experience with Big Data ecosystems like Spark, Hive, Hadoop
  • Excellent problem-solving skills

Benefits

Comp & perks
  • Health insurance
  • Flexible working hours
  • Professional development opportunities