Data Engineer & Analyst – Data Pipelines & Analytics (Backend)

DHL; Chennai District; Presencial; Confidential; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Annual Leave 42 days

Medical Insurance: Self + Spouse + 2

Resumo da oferta

DHL is seeking a BI/Data Engineering specialist to drive data‑driven decisions in reporting, forecasting, and planning. You will architect scalable pipelines and model data for AI/ML workflows. The role requires collaboration with data scientists and cross‑functional teams.

Based in Chennai, you will work with cutting‑edge technologies in a collaborative environment. On‑site work with Indian business hours and strong growth opportunities await.

Qualificações

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science.
• Minimum 3 years hands‑on experience in data engineering or analytics.
• Experience with Kubeflow and data pipelines is preferred.

Responsabilidades

• Architect, develop, and maintain scalable data pipelines using Kubeflow and Python, enabling ingestion, transformation, and enrichment.
• Ensure seamless integration of internal data sources into Snowflake for reporting and analytics.
• Build operational frameworks for logging, monitoring, and governance across data workflows and systems.

Conhecimentos

Kubeflow

Python

Snowflake

SQL

Power BI

AI/ML readiness

Data modeling

Formação académica

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science

Ferramentas

GitHub

Snowflake

Descrição da oferta de emprego

Join the Future of DHL

DHL Group the logistics provider of the world with over 580,000 employees in more than 220 countries and territories. We are an organization that is not just moving goods around, we have a very clear purpose, and we are: Connecting People. Improving Lives. We provide challenges and opportunities for personal and professional development, we recognize the difference you bring to our business and together we share the pride of building one of the largest world leaders in logistics and supply chain.

Are you ready to shape the next generation of steering within one of the most dynamic logistics environments in the world?

Our BI specialists for a German speaking country are at the forefront of transforming how data drives business decisions. We deliver real-time, business-critical insights across reporting, forecasting, and planning - empowering leadership with the intelligence needed to act with precision and speed.

But we don’t stop there.

We are pioneering the digitalization of processes, integrating cutting-edge technologies and emerging trends to redefine how data creates value. Our mission is clear: to turn information into impact and unlock measurable business advantage through smart, scalable, and future-proof solutions.

What sets us apart is our strong team spirit – a culture of collaboration, mutual support, and shared ambition. We believe that the best ideas emerge when diverse minds come together, and we foster an environment where everyone contributes to shaping the future.

If you're a visionary professional with a passion for data-driven strategy, digital innovation, and operational excellence – this is your opportunity to make a difference at scale.

Step into a role where your expertise fuels transformation. Shape the future with us.

Key Responsibilities

• Architect, develop, and maintain scalable and resilient data pipelines using Kubeflow and Python, enabling efficient ingestion, transformation, and enrichment
• Ensure seamless integration of various internal and external data sources into Snowflake, converting them into relational formats optimized for reporting and analytics.
• Build up operational frameworks for logging and monitoring across data pipelines and systems

Data Modeling & AI/ML Enablement

• Design Snowflake-based data models tailored for AI/ML readiness, supporting e.g. predictive analytics, anomaly detection, or automated alerting systems.
• Collaborate with data scientists and business analysts to implement and maintain a robust machine learning life cycle
• Perform deep-dive data analyses to identify relevant business insights

Collaboration & Documentation

• Maintain comprehensive documentation and version control of data workflows, models, and pipelines using GitHub, ensuring transparency, reproducibility, and team-wide collaboration.
• Actively contribute to data governance initiatives, promoting best practices in data quality, lineage, and compliance.

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, or a related technical discipline.
• Minimum 3 years of hands‑on experience in data engineering or analytics

Technical Skills

• Strong proficiency in Kubeflow, Python, Snowflake, and SQL for data pipeline development and modeling (minimum 3 years experience)
• Solid understanding of AI/ML readiness, including data structuring, feature engineering, and model preparation.
• Advanced skills in Power BI for data visualization and GitHub for version control and workflow documentation.

Soft Skills

• Excellent analytical thinking and problem-solving capabilities.
• Strong communication skills in English (written and verbal)
• Ability to work independently and collaboratively in cross-functional teams, with a proactive and solution-oriented mindset.

Working Conditions

• Schedule: [Standard business hours/Flexible hours/Shift work] standard Indian business hours
• Remote Work: [Remote/Hybrid/On-site] options available: On-site only
• Global Coverage: May require occasional work outside standard hours
• Performance Metrics: Success measured by response time, resolution rate, and customer satisfaction scores

Benefits

• Annual Leave: 42 days off apart from Public / National Holidays.
• Medical Insurance: Self + Spouse + 2 children. An option to opt for Voluntary Parental Insurance (Parents / Parent -in-laws) at a nominal premium covering pre existing disease.