logo

Data Engineer Manager

  • Company

    Rocket Learning

  • Location

    Work from anywhere

  • Employment Type

    Full-Time

  • Functional Category

    Technology & Data

  • Experience

    10 - 12 years

  • Salary

    Up to 3200000

About Rocket Learning

Over 85% of brain development occurs before the age of six. Quality Early Childhood Education (ECE) ensures school readiness, substantially increases school completion and lifelong earnings, and frees up parents (especially women) to enter formal employment. It is called one of the 'greatest and most powerful equalizers' by India's National Education Policy. The Problem The Solution However, over 35 million children in India do not have access to high quality education at the preschool level, meaning that they are not ready when they enter the first grade in school. This leads to dismal educational outcomes at the foundational learning level - 43% of low income children can’t recognize letters of the alphabet and 35% numbers 1-9 in grade 1. Even worse, children have lost out on the chance to build their brain capacity and fall tens of IQ points behind their higher-income peers, as early as age six. This is a fundamental injustice that is nearly impossible to remedy later and condemns them to continue in the vicious cycle of poverty.

Overview of the Role

We are seeking an experienced Data Engineering Manager to lead our data engineering team in building and managing scalable data infrastructure that powers our education platform. The ideal candidate will have hands-on expertise in AWS, Data Lakes, Python, and big data technologies, along with proven leadership skills to mentor a team of data engineers. This role is critical in ensuring data-driven decision-making and enabling scalable analytics for India's largest early childhood education initiative.

Job Description

-Team Leadership and Management
Lead and mentor a team of data engineers, fostering a culture of collaboration, innovation, and accountability.
Provide technical guidance, career growth opportunities, and performance feedback to team members.

- Data Infrastructure and Scalability
Design, build, and maintain scalable data pipelines, data lakes, and warehouses to support analytics and machine learning.
Ensure data reliability, quality, and security across all data systems.

- Strategic Data Initiatives
Drive the adoption of best practices in data engineering, including data governance, metadata management, and data lineage.
Collaborate with cross-functional teams (product, analytics, engineering) to align data infrastructure with organizational goals.

Required & Preferred Qualifications

Skill

- Technical Expertise:
Proficiency in Python and SQL for data processing and pipeline development.
Hands-on experience with AWS data stack (Glue, Redshift, S3, EMR, Kinesis).
Strong understanding of data lake architectures, ETL/ELT frameworks, and big data technologies (Spark, Hadoop).
Familiarity with data orchestration tools (Airflow, Luigi) and infrastructure-as-code (Terraform, CloudFormation).

- Leadership and Management
Proven experience leading and growing data engineering teams (5+ members).
Ability to mentor engineers and foster a culture of continuous learning.

- Strategic Thinking
Demonstrated ability to align data infrastructure with business objectives.
Keen eye for optimizing data workflows and reducing technical debt.

- Collaboration Skills
Strong communication skills to work effectively with technical and non-technical stakeholders

Education

Graduate/Post Graduate in the relevant field

Experience

5 - 8 years