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Senior Project Delivery Lead

Senior Project Delivery Lead

thinkbridgeNew Delhi, Delhi, India
30+ days ago
Job description

About think bridge

We are a global digital product development firm that helps growth-stage companies gain the technology sophistication and maturity of leading modern digital businesses. We differentiate ourselves by delivering exceptional quality at scale and speed with our think stack accelerators. We started with the vision of being able to build amazing software fast. A new way to build software without any of the compromises that currently plague software development. A new way to focus on the outcomes instead of the tech, tools, methodologies, processes and vanity artifacts.

Why is think bridge a great place to work?

At think bridge, we are not just paving the way for exceptional digital experiences; we're also redefining the future of work. Our "Remote First" philosophy allows you to take a dive into a world where work doesn’t tie you down. We’re pioneering a Remote First approach, ensuring you’re connected, no matter where you are. We foster and encourage a diverse and inclusive work culture where employees feel valued, respected, are encouraged to voice their ideas, have equal opportunities and are treated fairly. We encourage and provide for our employees health and well-being initiating wellness programs, provide mental health resources, and ergonomically designed workspaces to support employees’ physical and mental health. We understand the value of work-life balance, hence we follow Flexible Work Hours, to ensure they can rejuvenate besides managing their personal commitments without much hassle. At think bridge, it's more than just a job. It's a journey of innovation, growth, and balance. Join us in shaping the future!

think bridge is a place where you can :

Think bigger – because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues.

Move faster – because you’ll be working with experienced, helpful teams who can guide you through challenges, quickly resolve issues, and show you new ways to get things done.

Go further – because you have the opportunity to grow professionally, add new skills, and take on new responsibilities in an organization that takes a long-term view of every relationship.

think bridge..there’s a new way there. ™

We live by five core values : Outcomes, Quality, Ownership, Accountability, and Communication . This role embodies all five - you'll own outcomes, maintain high technical standards, and communicate effectively across all levels.

Experience Level : Junior–Mid Data Engineer (2–4 yrs) with strong Python & SQL skills, hands-on ETL / ELT experience, and exposure to cloud data platforms.

Role Overview : We are seeking a motivated and detail-oriented Data Engineer with 2–4 years of experience to join our team. In this role, you will design, build, and maintain efficient data pipelines and infrastructure to support analytics, reporting, and application needs. You will collaborate with data scientists, analysts, and product teams to ensure smooth data integration from multiple sources into modern cloud-based platforms. The ideal candidate is a strong problem solver with solid Python and SQL expertise, practical experience in ETL / ELT processes, and familiarity with cloud data services.

What You'll Do

As part of the job, you will be required to :

Design and maintain data pipelines to automate ingestion from multiple sources into storage systems.

Develop and manage ETL / ELT workflows using tools like Apache Airflow and DBT.

Work with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases.

Leverage cloud platforms (AWS, GCP, or Azure) to build scalable, cloud-native data solutions for storage, processing, and analytics.

Build ETL / ELT pipelines to transfer data from diverse sources—such as flat files, relational databases, and web scraping—into Firestore, Supabase, or other relational databases using Cloud Data Factories and data pipeline orchestration tools.

Write efficient Python scripts to manipulate and validate data pipelines.

Write optimized SQL queries to work with relational databases and support data pipeline efficiency.

Monitor, troubleshoot, and optimize data pipelines to ensure reliability and performance in production.

Document workflows and best practices, contributing to knowledge sharing within the team.

What We're Looking For

Must have technical skills

Minimum 2 years of relevant experience in data engineering

Proficiency in Python (Pandas, NumPy) and SQL.

Hands-on experience with ETL / ELT workflows and pipeline tools (Airflow, DBT, Cloud Data Factories).

Experience with relational databases (PostgreSQL, MySQL) and familiarity with NoSQL systems (MongoDB, Cassandra).

Exposure to cloud platforms (AWS, GCP, Azure) for data services.

Strong analytical, problem-solving, and troubleshooting skills.

Effective communication and collaboration abilities.

Benefits : What We Offer

Dedicated Learning & Development Budget : Fuel your growth with a budget dedicated solely to learning.

Cutting-Edge Projects : Work on exciting projects with the latest technologies

Employee-Friendly Leave Policy : Recharge with ample leave options designed for a healthy work-life balance.

Work Environment

Leave & Time-off – All leaves taken are paid leaves. And all the leave and time off are likely pre-approved leaves intended for planned vacations, personal commitments, or any other needs requiring prior approval.

Comprehensive Medical & Term Insurance : Full coverage for you and your family peace of mind.

We organize city-wise, company-sponsored local meetups—fun-filled day outings with your colleagues!

At think bridge, you get reimbursed for approved certifications and short courses that support your role.

We embrace diversity and ensure equal opportunity for everyone, fostering an inclusive workplace where all voices are valued.

Join think bridge to be part of a purpose-driven, innovation-led organization that invests in your growth and empowers you to build a brighter future.

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Project Lead • New Delhi, Delhi, India

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