We are looking for a capable Junior Data Engineer to join our team, working on a hybrid basis from our Ambala office and from home. In this role you will be a key member of our Data Science function, contributing directly to our goals and working closely with talented colleagues across the business.
This is a hands-on role with real ownership and impact. You will apply your skills in Python, Apache Spark and Airflow to solve interesting problems, ship work you can be proud of and help us raise the bar for what we do. You will collaborate with cross-functional teams, share your ideas openly and have the support you need to do your best work and grow along the way.
You will bring around 2 to 4 years of relevant experience and strong, practical knowledge of Python, Apache Spark and Airflow. Just as important are clear communication, sound judgement, attention to detail and the ability to collaborate effectively with people across different teams and backgrounds.
Within your first few months, you will get up to speed with our products, processes and people, build strong working relationships across the team, and begin taking ownership of your own work. Over time, you will have the opportunity to deepen your expertise, take on broader scope and grow your career with us as the company continues to scale.
In return, we offer a supportive, inclusive and collaborative environment, competitive pay, meaningful benefits and the chance to do work that genuinely matters. We care about our people, invest in their growth and want everyone here to be able to do the best work of their careers.
If this sounds like you, we would love to hear from you. Anvaya Media is an equal-opportunity employer: we welcome applicants of all backgrounds and are committed to building a diverse team and an inclusive workplace where everyone can thrive. Apply today and tell us why you would be a great fit.
Responsibilities
As a Junior Data Engineer at Anvaya Media, you will play a central role within our Data Science function and take ownership of a broad and varied set of responsibilities. Working alongside a collaborative, motivated team, your day-to-day duties will include, but are not limited to, the following:- Maintain reproducible, version-controlled analysis and follow sound experimental and statistical practices.
- Partner with stakeholders to translate ambiguous business questions into well-defined, measurable analytical problems.
- Document data sources, definitions and methodologies so insights are trusted and easy to reproduce.
- Design, build and maintain robust data pipelines that ingest, clean, transform and serve data reliably at scale.
- Conduct exploratory analysis and experiments, and communicate findings clearly to technical and non-technical audiences.
- Build and maintain dashboards, reports and self-serve tools that make data accessible across the organisation.
- Develop, validate and deploy analytical and machine-learning models that turn raw data into actionable business value.
- Collaborate with engineering teams to productionise models and integrate insights into customer-facing features.
- Evaluate new data tools, platforms and techniques, recommending improvements to our data infrastructure.
- Mentor colleagues on data literacy and help embed a culture of evidence-based decision making.
- Ensure data quality, integrity and governance through validation, monitoring, documentation and clear data contracts.
- Define and track the metrics that matter, and proactively surface trends, risks and opportunities to leadership.
- Build strong, trust-based relationships with internal and external stakeholders.
- Ensure your work meets agreed quality, compliance and security standards before it is considered complete.
- Communicate progress, risks and blockers clearly and proactively to your manager and relevant stakeholders.
- Handle confidential and sensitive information with discretion, care and integrity at all times.
- Uphold the company's values, policies, security requirements and standards of professional conduct in all activities.
- Collaborate respectfully and effectively with colleagues across teams, functions, time zones and locations.
- Maintain accurate, thorough documentation and keep all relevant systems, tools and trackers up to date.
- Support and step in for teammates when needed to help the team meet its shared goals.
- Proactively flag dependencies and coordinate with other teams to keep work moving smoothly.
- Continuously develop your skills, seek feedback and stay current with the latest developments in your field.
- Take full ownership of your work, manage your own priorities and consistently deliver to a high standard and on time.
- Identify opportunities for improvement and bring forward practical ideas to make our products, processes and ways of working better.
- Adapt to changing priorities and remain calm, focused and effective in a fast-moving, evolving environment.
What we're looking for
2-4 years of professional experience in a Data Engineer or similar roleStrong working knowledge of Python, Apache Spark and Airflow
Bachelor's degree in Computer Science
Excellent communication, problem-solving and teamwork skills
Benefits
At Anvaya Media, we believe that looking after our people is the foundation of doing great work. We offer a comprehensive, thoughtfully designed benefits and perks package that supports your health, your finances, your growth and your life outside of work. When you join us, you can expect the following:- A supportive, inclusive and collaborative culture where your ideas are genuinely heard and your contribution truly matters.
- Flexible working hours that let you do your best work while balancing your personal life and commitments.
- Recognition of personal milestones with celebration leave and thoughtful gestures.
- Generous, fully paid parental leave for all new parents, supporting you through one of life's biggest moments.
- A competitive salary that is reviewed regularly and benchmarked against the market to keep your pay fair and current.
- Access to telemedicine and online doctor consultations so you can get care quickly, wherever you are.
- Hybrid and remote-friendly working options, with the trust and autonomy to manage your own time and output.
- Structured mentorship, regular feedback and clear, transparent career-progression frameworks to help you grow.
- The chance to do meaningful, high-impact work alongside talented, friendly, humble and ambitious colleagues.
- Employee stock options (ESOPs), giving you a genuine stake in the company's growth and long-term success.
- Protected time for learning, regular internal knowledge-sharing sessions and access to leading online learning platforms.
- A culture that actively encourages experimentation, stretch projects and learning from both wins and mistakes.
- A results-focused environment that values outcomes and impact over hours logged at a desk.
- Regular recognition and appreciation for great work, both publicly and privately.
- Transparent, structured pay bands and clear criteria for progression, so you always know how to grow your earnings.
- A performance-linked annual bonus that meaningfully rewards both your individual contribution and the company's success.
- Generous referral bonuses for helping us find and hire other great people to join the team.
- A dedicated annual learning and development budget you can spend on courses, books, certifications and conferences.
- Personal accident and term life insurance providing financial protection and peace of mind for you and your loved ones.
- A home-office set-up allowance plus the laptop, equipment and tools you need to work comfortably and productively.
- Company-funded health insurance with access to a wide network of hospitals and clinics, plus an annual preventive health check-up.
- Additional wellbeing and volunteering days each year to look after yourself and give back to your community.
- Wellness perks such as gym and fitness-membership support, plus wellbeing initiatives throughout the year.
Education
Bachelor's degree in Computer Science