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Lead Engineer - Data

🇮🇳 India

Scala

Consulting

Management

Java

Python

AWS

GCP

Azure

Git

Snowflake

Design

Sales

SQL

Analyst

Testing

Security Engineer

Lead Engineer - Data

from 🇮🇳 India

OUR STORY

Let’s be honest: there are lots of people out there doing what we do. We’re just not convinced they’re doing it right. Businesses are hungry for innovation and opportunity, but not at the cost of their independence. At Ollion, we’ve connected companies and capabilities around the world to help ambitious organizations make the most of their transformation and leave the status quo in the dust.

WORKING AT OLLION

Innovation is risky. It demands bold steps and big questions, but that’s the price of making change. We’ve got our head in the cloud and two feet on the ground, channeling tech’s endless potential towards a single goal: making a world of difference. And we’re building a global team to do just that— a team capable of making game-changing breakthroughs without ever losing sight of the people it will impact. This is more than consulting. This is the change you can be.

THE OLLION DIFFERENCE

At Ollion, we’re all in on your independence. Our teams are seasoned. Our solutions are straightforward—sometimes even groundbreaking. And our engagements? Exactly as long as you want them to be. We deliver fresh thinking and hard-earned insight in a way that works for you and your customers, arming your organization with everything you need to make your transformation truly mean something.

 

WORKING WITH OLLION (our clients’ experiences)

Progress matters more than process. Our global team of cloud-native pros is all about creating new and better ways to work—not just by solving your tech challenges, but by using technology to solve your business challenges. We keep the formulas, frameworks, and ten-point plans to a minimum, tackling your most pressing problems with a proprietary mix of good-old-fashioned ingenuity and refreshing humanity.

Experience:

  • Minimum 10 years of experience in Data Engineering or related roles
  • At least 2+ years in a Technical Lead (Data) capacity
  • Note: This is not a management position — 100% hands-on capability required

Key Responsibilities

  • Technically Lead and mentor a team of data engineers, fostering growth, collaboration, and technical excellence across project delivery.
  • Architect, design, and implement scalable data pipelines and processing systems using modern cloud services (AWS, GCP, Azure).
  • Establish and enforce data engineering best practices, standards, and governance frameworks.
  • Collaborate with business stakeholders to understand data needs and deliver actionable, scalable solutions.
  • Drive the technical vision and roadmap for data infrastructure and platforms.
  • Optimize data workflows for performance, reliability, and cost efficiency.
  • Provide technical leadership in data modeling and ETL/ELT design.
  • Conduct code reviews, ensuring scalable and maintainable solutions.
  • Support teams and stakeholders with data-related problem-solving.
  • Communicate technical concepts effectively to technical and non-technical audiences.
  • Design and lead discovery sessions with clients and internal teams for requirement gathering and architecture alignment.
  • Automate and orchestrate complex data pipelines, reducing manual effort.
  • Develop and maintain high-quality documentation of architectures, requirements, and processes.
  • Support pre-sales engagements, including technical solutioning and proposal development.
  • Create reusable frameworks and artifacts to accelerate delivery.
  • Maintain relevant cloud certifications and contribute to thought leadership.

Technical Skills & Competencies

Programming & Querying Expertise

  • Proficiency inPython andSQL is essential, with proven experience in developing scalable data solutions.
  • Strong skills in writing clean, testable, and production-grade code for data transformation and orchestration.
  • Experience with version control systems likeGit and collaborative development practices.
  • Familiarity withScala orJava is a plus, particularly for big data processing frameworks.

Data Lake & Data Warehouse Expertise

  • Proven experience indesigning and implementing enterprise-grade data lake solutions.
  • Hands-on experience withCloud Data Engineering (AWS/GCP),Databricks,Delta Lake, andlakehouse architectures.
  • Strong understanding ofdata warehouse concepts, includingstar and snowflake schemas.
  • Expertise inquery performance tuning,data partitioning,compression, andstorage optimization.
  • Understanding ofdata governance, access control, andsecurity frameworks.
  • Familiarity withmedallion architecture or equivalent multi-tier data processing frameworks.
  • Experience with real-time data streaming technologies such asApache Kafka orAWS Kinesis.

Leadership & Soft Skills

  • 2+ years of technical leadership experience.
  • Demonstrated ability tomentor junior engineers and foster team capability growth.
  • Excellentcommunication andcollaboration skills across cross-functional teams.
  • Strongproblem-solving abilities,business acumen, and analytical thinking.
  • Ability to managemultiple priorities in dynamic, fast-paced environments.
  • Customer-focused mindset with strong stakeholder engagement skills.
  • Experience inAgile methodologies and leading sprint planning and retrospectives.

Data Engineering Core Principles

  • Expertise indata pipeline architectures, data integration patterns, and orchestration tools.
  • Experience withdata validation,testing frameworks, anddata quality management.
  • Knowledge ofdata privacy,compliance, andsecurity best practices.
  • Experience inconnecting data pipelines to visualization layers for real-time analytics.
  • Understanding ofsemantic layer design andself-service data modeling.
  • Experience inend-to-end orchestration of pipelines from source systems to reporting tools.
  • Proficiency indata modeling techniques anddatabase design principles.

Industry Knowledge & Certifications

  • Relevant cloud certifications (e.g.,AWS Certified Data Analytics orGoogle Cloud Professional Data Engineer).
  • Understanding of industry-specific data regulations (e.g., GDPR, CCPA, HIPAA) as applicable.
  • Knowledge of emerging trends in data engineering, such asdata mesh anddata fabric architectures.

Ollion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all employees. Ollion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factor.

Ollion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all employees. Ollion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factor.

by @maxrusakovic