Analytics Engineer
Analytics Engineer
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Job Description
Job Title
Analytics EngineerJob Description
Job Title: Analytics Engineer
Work Location: Pune
Relevant experience required (in years): 6 years of total exp with minimum 3 years as an Analytics Engineer or in a similar role.
Your department:
As Analytics Engineer within the Enabling Functions department of Vanderlande you support Finance HR and IT by delivering robust scalable and future-ready data solutions. Our mission is to empower these departments with high-quality governed data products that drive operational excellence and strategic decision-making.
At the core of our work is the Vanderlande Data Platform a cloud-native solution built on Azure and aligned with Data Mesh principles. This platform enables us to ingest transform and enrich data from diverse source systems creating trusted reusable data assets tailored to the needs of our Enabling Functions stakeholders.
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.
By utilizing advanced analytics techniques and the latest technology our focus on innovation empowers us to continuously improve and innovate.
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.
Responsibilities:
As an Analytics Engineer at Vanderlande youll 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.
- Create deploy and maintain interactive dashboards and visualizations using Qlik or Power BI.
- Perform a comprehensive analysis and proactively implement solutions to assess and enhance data quality and data reliability.
- You are eager to improve yourself and strive for continuous enhancement of processes and development of our data products.
- Stay updated with the latest developments in the analytics field and share knowledge with the team.
Your Qualification and Skills:
If youre an experienced enthusiastic and versatile Analytics Engineer you will bring:
- Minimum bachelors degree in Computer Science Information Technology or a related field (or equivalent experience).
- 6 yrs of total exp with min 3 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.
- 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.
About the Company: Vanderlande
Vanderlande is a market-leading global partner for future-proof logistic process automation in the warehousing airports and parcel sectors. Its extensive portfolio of integrated solutions innovative systems intelligent software and life-cycle services results in the realization of fast reliable and efficient automation technology.
Established in 1949 Vanderlande has more than 9000 employees all committed to moving its Customers businesses forward at diverse locations on every continent. It has established a global reputation over the past seven decades as a highly reliable partner for future-proof logistic process automation.
Vanderlande was acquired in 2017 by Toyota Industries Corporation which will help it to continue its sustainable profitable growth. The two companies have a strong strategic match and the synergies include cross-selling product innovations and research and development.
Why should you join Vanderlande India Global Capability Center (GCC)
- We are certified as Great Place to Work by the prestigious Great Place to Work Institute.
- Flexible and Hybrid Workplace.
- Vanderlande Academy and training facilities to boost your skills.
- Mediclaim benefit including parental coverage.
- On-site company health centers with a gym employee wellbeing sessions in house doctor support.
- A variety in Vanderlande Network communities and initiatives.
- Opportunity to collaborate globally.
Being you @Vanderlande (Diversity statement)
Vanderlande is an equal opportunity employer. Qualified applicants will be considered without regards to race religion colour national origin gender sexual orientation age marital status veteran status or disability status.
Employment Type
Full-Time
