Job Opening

Greetings from Technogen 

We thank you for taking time about your competencies and skills, while allowing us an opportunity to explain about us and our Technogen, we understand that your experience and expertise are relevant the current open with our clients.

About Technogen :

Technogen India Pvt. Ltd. is a boutique Talent & IT Solutions company, founded in 2008, has been serving global customers for over last 2 decades,. Talent Solutions: We assist several GCCs, Global MNCs and IT majors on their critical and unique IT talent needs through our services around Recruitment Process Outsourcing (RPO), contract staffing, permanent hiring, Hire-Train-Deploy (HTD), Build-Operate-Transfer (BOT) and Offshore staffing.

Job Title : Data Engineer

Required Experience : 8 years

Work Mode: WFO-4 Days from Office.

Shift Time : UK Shift Time-12:00 PM IST to 09:00 PM IST.

Location : Hyderabad.
Job Summary:-
The Opportunity

• seeking a Data Engineer and Problem Manager, based out of our Technology & Innovation Center in Hyderabad, India, reporting to the IT Director for Enterprise Data and Analytics.
• The person in this role will be responsible for managing, monitoring,  and maintaining scalable data integration and analytics pipelines to support enterprise reporting and data-driven decision-making.
• This role requires close collaboration with cross-functional teams to integrate data from various source systems into a centralized, cloud-based data warehouse
• Primarily leveraging tools such as Google Big Query, Python, SQL, DBT, and Cloud Composer (Airflow).
• The Data Engineer will also be responsible for implementing data quality checks, managing orchestration workflows, and delivering business-ready datasets aligned with enterprise data strategy.

What Your Impact Will Be:-

• Experience inIncident Management + Problem Management + RCA activity
• ITIL Certification will be preferred
• Experience in O2C, R2P business processes
• Monitoring and analysing data integration pipelines to ingest structured and semi-structured data from enterprise systems (e.g., ERP, CRM, E-commerce, Order Management) into a centralized cloud data warehouse using Google BigQuery.
• Build analytics-ready pipelines that transform raw data into trusted, curated datasets for reporting, dashboards, and advanced analytics.
• Implement transformation logic using DBT to create modular, maintainable, and reusable data models that evolve with business needs.
• Apply BigQuery best practicesincluding partitioning, clustering, and query optimizationto ensure high performance and scalability.
• Automate data workflows using Cloud Composer (Airflow), ensuring reliable execution, task dependency management, and timely data delivery.
• Develop efficient, reusable Python and SQL code for data ingestion, transformation, validation, and performance tuning across the pipeline lifecycle.
• Establish robust data quality checks and testing strategies to validate both technical accuracy and alignment with business logic.
• Collaborate with cross-functional teamsincluding data analysts, BI developers, and product owners—to understand integration needs and deliver impactful, business-aligned data solutions.
• Leverage modern ETL platforms such as , Databricks, Dataflow, or Fivetran to accelerate development and improve observability and orchestration.
• Contribute to technical documentation, CI/CD workflows, and monitoring processes to drive transparency, reliability, and continuous improvement across the data engineering ecosystem.

What We're Looking For:-

• Bachelor's or master's degree in computer science, Data Engineering, Information Systems, or related technical field.
• 8+ years of hands-on experience in data engineering with a focus on data integrations, warehousing, and analytics pipelines.
• Hands on experience in troubleshooting and diagnosis problem and root cause finding and communicate to development team
• Techno Functional knowledge in ERP application integration in O2C and R2P area

Hands-on experience with:-

• Google Big Query as a centralized data warehousing and analytics platform.
• Python for scripting, data processing, and integration logic.
• SQL for data transformation, complex querying, and performance tuning.
• DBT for building modular, maintainable, and reusable transformation models.
• Airflow / Cloud Composer for orchestration, dependency management, and job scheduling.
• Solid understanding of ITIL Incident management and problem management.
• Strong knowledge of data testing frameworks, validation methods, and best practices.

Preferred Skills (Optional):-

• Experience with or comparable ETL platforms such as Databricks, Dataflow, or Fivetran.
• Familiarity with data cataloging and governance tools like Collibra.
• Knowledge of CI/CD practices, Git-based workflows, and infrastructure automation tools.
• Exposure to event-driven or real-time streaming pipelines using tools like Pub/Sub or Kafka.
• Strong problem-solving and analytical mindset with the ability to think broadly and identify innovative solutions and able to quick to learn new technologies, programming languages, and frameworks.
• Excellent communication skills, both written and verbal.
• Ability to work in a fast-paced and collaborative environment.
• Good experience in Agile Methodologies like Scrum, Kanban, and managing IT backlogs.

What It's Like to Work Here:-

• We are a purpose-driven company aiming to empower the next generation to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors:
• We collaborate: Being a part of means being part of one team with shared values and common goals.
• Every person counts and working closely together always brings better results.
• Partnership is our process, and our collective capabilities are our superpowers.
• We innovate: At we always aim to find new and better ways to create innovative products and experiences.
• No matter where you work in the organization, you can always make a difference and have a real impact.
• We welcome new ideas and value new initiatives that challenge conventional thinking.
• We execute: We are a performance driven company. We strive for excellence and are focused on pursuing best in class outcomes.
• We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results.