Group Data Engineer I

DP World
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📍 Bangalore, Karnataka, IndiaFull time

About this role

KEY ACCOUNTABILITIES

  • Technical Leadership & Architecture: 

  • Define target architectures, engineering patterns and standards for batch/streaming integration, lakehouse design, data modelling, sharing and serving. 

  • Lead design reviews and technical decisions for complex or high-impact initiatives, ensuring scalability, security, resilience and reuse. 

  • Data Engineering & Platform Delivery: 

  • Design and build production-grade pipelines and reusable frameworks using SQL, Python, Spark and cloud data platform technologies. 

  • Establish reusable ingestion/transformation components, CI/CD and infrastructure-as-code to accelerate onboarding and reduce delivery risk. 

  • Reliability, Performance & Cost: 

  • Set standards for observability, SLAs, performance tuning, disaster recovery, incident prevention and root-cause resolution. 

  • Optimize compute, storage and workload design to improve platform performance, reliability and unit cost. 

  • Data Quality, Governance & Security: 

  • Embed automated data quality, lineage, metadata, access control, privacy and retention requirements into the engineering lifecycle. 

  • Partner with Governance and Security teams to ensure critical data products are trusted, auditable and compliant. 

  • Engineering Excellence & Automation: 

  • Drive automated testing, code quality, version control, deployment automation, coding standards and technical debt reduction. 

  • Evaluate emerging technologies, lead proofs of concept and convert proven capabilities into scalable enterprise standards. 

  • Collaboration & Mentoring: 

  • Mentor engineers, raise technical capability and provide hands-on support for complex troubleshooting and engineering decisions. 

  • Collaborate with product, analytics, AI/ML, platform and source-system teams to deliver reusable, trusted data capabilities. 

 

QUALIFICATIONS, EXPERIENCE AND SKILLS

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Information Technology or a related discipline; a Master's degree is desirable.
  • Minimum of 7+ years of experience in data architecture, data engineering, or a similar role, with a strong focus on designing large-scale data platforms.

    • Advanced hands-on expertise in SQL, Python, Spark, distributed data processing and data modelling.

    • Strong experience with cloud data platforms (Azure, AWS or GCP); Databricks/lakehouse experience is preferred.

    • Deep knowledge of batch and streaming ingestion, CDC, orchestration, APIs, data lakes/warehouses and modern data architecture patterns.

    • Strong experience with Git, CI/CD, infrastructure-as-code, automated testing, observability and production engineering practices.

    • Working knowledge of data governance, security, privacy, lineage, metadata management and data quality controls.

    • Demonstrated ability to lead architecture/design reviews, resolve complex technical issues, mentor engineers and influence senior stakeholders.

Key Skills:

  • Strong leadership, collaboration, and communication skills.
  • Expertise in cloud platforms and services (Azure preferred).
  • Proficiency in data pipeline orchestration tools (e.g., Apache Airflow, Azure Data Factory).
  • Knowledge of containerization and microservices architecture.
  • Familiarity with data visualization and BI tools (e.g., Power BI, Tableau).
  • Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  • Ability to think strategically while balancing business needs and technical solutions.
  • Experience with Agile methodologies and working in a fast-paced, collaborative environment.

Desirable Qualifications:

  • Certifications such as Microsoft Certified: Azure Solutions Architect Expert or Google Cloud Professional Data Engineer.
  • Experience with machine learning and AI workloads on data platforms.
  • Knowledge of DevOps practices and CI/CD for data pipelines.

 

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Frequently Asked Questions

Is the salary disclosed for the Group Data Engineer I position at DP World?
The salary for this Group Data Engineer I role at DP World is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Group Data Engineer I position at DP World located?
This Group Data Engineer I role at DP World is based in Bangalore, Karnataka, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Group Data Engineer I role at DP World full-time or part-time?
This is listed as a Full time position. It is posted as a Group Data Engineer I role at DP World.
How do I apply for the Group Data Engineer I position at DP World?
Click the "Apply Now" button on this page. You will be redirected to DP World's official application portal hosted on oraclecloud where you can submit your application directly.
When was the Group Data Engineer I job at DP World posted?
This Group Data Engineer I position at DP World was posted on Aug 27, 2026. Apply as soon as possible — early applications are often reviewed first.
Group Data Engineer I
DP World
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