Data Engineer

Job Title: Analytics Engineer/Data Engineer
Work Location: Pune, Kharadi
Relevant experience required (in years): 5+ years' experience is required.
Position Summary:
Are you a data enthusiast, passionate about converting raw information into valuable and actionable insights? Do you thrive on collaborating with technical and business stakeholders to shape the future of data-driven solutions? If your answer to these questions is “yes”, then look no further than Vanderlande
We’ll give you the opportunity to:
Work in a highly motivated, global team of Data & Analytics enthusiasts.
Play a crucial role in advancing the maturity of the Data Platform, contributing to delivery of analytical products and services offered by our department to the Vanderlande organization.
Work within a cloud based architecture based on Data Mesh principle
Your department:
The Central Data & Analytics department is tasked with extending, operating and further maturing the data platform of Vanderlande. We provide Data & Analytics related products and services to Vanderlande, primarily catering to internal customers, but supporting our digital service portfolio. Following a hub & spoke model, we establish centralized standards that are then adopted and implemented by decentralized teams within the business.
At the heart of our efforts lies the Data Platform, the core product we are diligently enhancing. This Azure cloud enabled platform based on the Data Mesh principle empowers us to deliver valuable Data Products by transforming, processing, combining, and enriching data from various source systems, ultimately creating a reliable source of truth for our customers. To enable efficient data analysis and visualization, we actively govern, and maintain the Vanderlande Qlik Servers and Power BI Premium capacity. In addition, we provide templates, establish a clear workflow, and foster a community of experts.
Our work centers around our Federated Governance model, with the Central Data & Analytics Organization as the hub serving the spokes. Our scope encompasses Data Governance, Platform Operations, Core Platform Development, and Full stack Development. The technologies we use span across the Azure stack and Databricks ecosystem, ensuring seamless integration and optimal utilization of resources.
By utilizing advanced analytics techniques and the latest technology, our focus on innovation empowers us to continuously improve and innovate the Data Platform.
Operating as a scaled Agile organization, we embrace the SAFe Agile framework and work collaboratively across different teams, all united by a common backlog and shared roadmap. This approach allows us to be highly adaptable, continuously adjusting to the evolving strategic needs of stakeholders within Vanderlande.
Essential Functions (Job Duties and Responsibilities):
As an Analytics Engineer at Vanderlande you'll be at the forefront of driving data-driven solutions and shaping the future of our organization by working on the data platform. Your key responsibilities will involve translating business needs into functional requirements, designing and developing data products, pipelines, and reports, and analyzing data to solve use cases resulting in optimized business processes and fact-based decision-making.
As being part of a cross functional full-stack team, together with your colleagues you are responsible for the creation and delivery of an end-to-end solution to our business stakeholders. In this role, you are a tech-savvy, action-oriented, and collaborative colleague who can wear multiple hats - part Data Engineer, - part Data Analyst and even though you have an area of expertise, you can fulfil each of those roles up to a certain point.
On a day-to-day basis, you will focus on creating and maintaining data products, data pipelines using Python, PySpark and SQL, and dashboards using tools like Qlik, or Power BI. Working in an Agile environment, proactively contributes to scrum events ensuring seamless coordination with the team and swift adaptability to changing priorities. They thrive in a fast-paced, iterative development environment, where constant feedback and continuous improvement are key.
In this role, you:
Translate business needs into functional requirements providing essential information on business use cases.
Translate functional requirements into thorough and feasible data products, analytics solutions and dynamic dashboards;
Utilize Python, PySpark, SQL, or R for data retrieval and manipulation.
Develop, test, and maintain data products, pipelines by the use of the Azure stack and Databricks, ensuring data reliability and quality.
Design and implement architectures for efficient data extraction and transformation.
Work on creating and maintaining landing zones in the data platform.
Actively participate in and contribute to Continuous Integration and Continuous Deployment (CI/CD) practices, ensuring smooth and efficient development and deployment processes within the data platform
Integrate data pipelines and reports into testing frameworks, allowing for rigorous performance testing and validation to ensure seamless performance.
Monitor and maintain data pipeline stability, offering support when required.
Analyze, interpret, and visualize data to drive business process optimization and fact-based decision-making.
Perform a comprehensive analysis and proactively implement solutions to assess and enhance data quality and data reliability.
Actively participate in delivery execution on the Data Platform
You are eager to improve yourself and strive for continuous enhancement of processes and development within the data platform.
Stay updated with the latest developments in the analytics field and share knowledge with the team.
Your Qualifications & Skills:
If you’re an experienced, enthusiastic and versatile Analytics Engineer, you will bring:
Minimum bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
5 to 12 years of prior experience working as an Analytics Engineer or in a similar role .
Ability to work effectively as part of a cross-functional international full stack team, collaborating with other developers, and stakeholders.
Practical experience in writing code in Python, PySpark, SQL, or R for data retrieval and manipulation is a strong preference.
Demonstrated experience and proficiency in working with Azure Stack and Databricks is required for this role.
Proficiency or interest in using DevOps practices and tools for continuous integration, continuous delivery (CI/CD), and automated deployment of data products and data pipelines
Strong communication skills to effectively convey complex technical concepts in a clear and understandable manner to both technical and non-technical stakeholders.
Enthusiastic, proactive, driven, and actively seeking opportunities for personal development and growth.
Demonstrated curiosity and commitment to staying updated with the latest trends, tools, and best practices in the data & analytics field.
Familiar with agile methodologies and thrives in its dynamic and collaborative environment.
Knowledge of visualization tools like Power BI or Qlik is plus.

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