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Volvo Trucks

Compare

4.1

based on 246 Reviews

1 Volvo Trucks Data Scientist Job

Data Scientist-FinOps

Volvo

4.1

based on 246 Reviews

4-7 years

Bangalore / Bengaluru

1 vacancy

Data Scientist-FinOps

Volvo Trucks

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Data Analytics Python Operations Analytical Chemistry SAP Business Intelligence

+ 4 more

Job Description

We are looking for a skilled and motivated Data Engineer to join our data team. As a Data Engineer, you will be responsible for creating and maintaining scalable data pipelines, ensuring data quality and integrity, and enabling access to clean, well-structured data for analytics and business intelligence teams. You will work closely with data scientists, analysts, and other engineers to implement data solutions that meet the companys business objectives.

Responsibilities:

Design, develop, and maintain scalable data pipelines and ETL processes to support data ingestion, transformation, and storage.
Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver high-quality data solutions.
Architect and optimize data models and schemas to support analytical and operational use cases.
Implement data governance and security best practices to ensure data privacy and compliance with regulatory requirements.
Monitor and troubleshoot data pipelines to ensure reliability, performance, and scalability.
Stay abreast of emerging technologies and best practices in data engineering and contribute to continuous improvement initiatives.

Qualifications:

Bachelors or Masters degree in Computer Science, Engineering, or related field.
Minimum of 5 years of experience in data engineering or related roles.
Proficiency in programming languages such as Python, Java, or Scala.
Solid understanding of cloud platforms (e.g., AWS, Azure, GCP) and experience with cloud-based data services (e.g., S3, BigQuery, Redshift).
Experience with Snowflake data platform is a plus.
Experience with PowerBI is a plus.
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Why Join Us:

Opportunity to work with cutting-edge technologies and solve complex data engineering challenges.
Collaborative and innovative work culture that values diversity and continuous learning.
Competitive compensation package including salary, benefits, and opportunities for professional development and career growth.
Flexible work arrangements and a supportive work-life balance.

Are you passionate about leveraging data to drive meaningful insights and solutions? Do you thrive in dynamic environments where innovation and collaboration are valued? If so, you might be the perfect fit for our Senior Data Engineer role.

Were looking for someone who possesses:

Expertise in Data Engineering: You should have a solid background in data engineering, with hands-on experience building scalable data pipelines and infrastructure.
Technical Proficiency: Proficiency in programming languages like Python, Java, or Scala, along with experience with distributed computing frameworks such as Apache Spark or Hadoop, is essential.
Cloud Experience: Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services is a big plus. Experience with tools like Airflow or Luigi for data pipeline orchestration is also advantageous.
Problem-solving Skills: We need someone who can tackle complex data engineering challenges with creativity and precision.
Team Player Mentality: Collaboration is key in our environment. You should be comfortable working with cross-functional teams and contributing your expertise to collective goals.
Continuous Learner: The data landscape is constantly evolving. Were looking for individuals who are committed to staying up-to-date with the latest technologies and best practices in data engineering.