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Urgent! Data Engineer (m/f/d) Job Opening In Pune – Now Hiring Thinkproject
Introducing Thinkproject Platform
Pioneering a new era and offering a cohesive alternative to the fragmented landscape of construction software, Thinkproject seamlessly integrates the most extensive portfolio of mature solutions with an innovative platform, providing unparalleled features, integrations, user experiences, and synergies.
By combining information management expertise and in-depth knowledge of the building, infrastructure, and energy industries, Thinkproject empowers customers to efficiently deliver, operate, regenerate, and dispose of their built assets across their entire lifecycle through a Connected Data Ecosystem.
We are seeking a motivated and technically skilled Mid-Level Data Engineer to join our data platform team.
In this role, you will be responsible for building, optimizing, and maintaining reliable data pipelines and workflows.
You will play a key role in designing scalable data processing systems, working with both structured and unstructured data sources, and supporting data needs across the organization.
This is an excellent opportunity for someone who has hands-on experience in data engineering and is ready to take ownership of data initiatives in a cloud-centric environment.
What your day will look like
Key Responsibilities:
· Data Pipeline Development: Design, implement, and optimize data pipelines (batch and streaming) for efficient ingestion, transformation, and storage of large-scale datasets.
· Data Quality & Reliability: Ensure high data integrity through monitoring, alerting, testing, and validation mechanisms.
· Cloud-Based Data Engineering: Develop data solutions leveraging cloud-native services (preferably GCP or AWS) to support analytics and ML workloads.
· Data Modeling & Warehousing: Contribute to the design of data warehouses and lakehouse architectures, optimizing storage and query performance.
· Automation & Tooling: Automate routine tasks, including data loading, validation, and transformation processes using scripting languages and workflow orchestration tools.
· Cross-Team Collaboration: Partner with data analysts, scientists, and application engineers to support data access and insights across teams.
· Documentation & Best Practices: Maintain clear documentation and follow best
What you need to fulfill the role
Skills and Experience:
· Education: Bachelor’s degree in Computer Science, Data Engineering, or a related technical field.
· Experience: 2–4 years of hands-on experience in data engineering or backend development with a strong data focus.
· Programming Languages: Proficient in Python and SQL; knowledge of Java or Scala is a plus.
· Cloud Platforms: Practical experience with at least one cloud platform (GCP, AWS, Azure).
Experience with GCP services like BigQuery, Dataflow, Pub/Sub, and Cloud Storage is a strong plus.
· Data Technologies: Working knowledge of Apache Spark, Hadoop, Airflow or Composer, and experience with data warehousing concepts.
· Databases: Experience with relational (PostgreSQL, MySQL) and exposure to NoSQL databases (MongoDB, Bigtable, etc.).
· Version Control & CI/CD: Proficient with Git and familiar with CI/CD tools and workflows.
· Data Processing: Comfortable working with large, complex datasets and applying data cleaning, parsing, and transformation techniques.
Preferred Qualifications:
· Experience building and managing ETL/ELT pipelines in a production environment.
· Exposure to modern data lake/lakehouse architectures (e.g., Delta Lake, Iceberg).
· Understanding of data governance, metadata management, and security best practices.
· Familiarity with orchestration tools (e.g., Apache Airflow, Dagster, Prefect).
· Strong communication and documentation skills.
· Curious, proactive mindset and ability to learn new tools quickly.
What we offer
Lunch 'n' Learn Sessions I Women's Network I LGBTQIA+ Network I Coffee Chat Roulette I Free English Lessons I Thinkproject Academy I Social Events I Volunteering Activities I Open Forum with Leadership Team (Tp Café) I Hybrid working I Unlimited learning
We are a passionate bunch here.
To join Thinkproject is to shape what our company becomes.
We take feedback from our staff very seriously and give them the tools they need to help us create our fantastic culture of mutual respect.
We believe that investing in our staff is crucial to the success of our business.
✨ Smart • Intelligent • Private • Secure
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Pune, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Pune, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 676369 jobs in India and 15734 jobs in Pune. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Thinkproject is currently hiring and seeking a Data Engineer (m/f/d) to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Engineer (m/f/d) Jobs Pune.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Thinkproject adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer (m/f/d) Jobs India varies, but the pay scale is rated "Standard" in Pune. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer (m/f/d) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Engineer (m/f/d) interview at Thinkproject, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Thinkproject's products or services and be prepared to discuss how you can contribute to their success.
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