Job Opening || Data Engineer-Problem Manager || Hyderabad

Technogen

Technogen

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 :

Required Experience : 8

Work Mode: WFO-4 Days from Office.

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

Location :

• 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 in

  Incident 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 Ascend.io, 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 Ascend.io 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.