Senior Data Engineer Job at Volvo| Remote Job| Apply

Job Role: Senior Data Engineer

Salary : Rs 12,00,000–₹25,00,000 per year.

Location: Bengaluru, Karnataka

Company: Volvo Group

Qualifications: Graduate

Experience : 3-5 years

ABOUT VOLVO GROUP

Volvo Group set up in Gothenburg, Sweden, is a main global producer of trucks, buses, production devices, and marine and commercial engines. Founded in 1927, the organization is famed for its determination to safety, tremendous, and sustainability. Volvo Group operates via several well-known manufacturers, which include Volvo Trucks, Volvo Construction Equipment, and Volvo Penta. The business enterprise is devoted to innovation and decreasing environmental effects, investing heavily in electric-powered and autonomous car generation.

With a sturdy interest in purchaser desires and a global presence in over a hundred 90 markets, Volvo Group pursues to deliver services and products that enhance transport overall performance and sustainability. Its venture is to force prosperity through shipping solutions, contributing to a greater sustainable future. The commercial enterprise business enterprise’s imaginative and prescient aligns with growing safer, purifier, and additional efficient transport solutions at the same time as retaining a robust commitment to ethical business organization practices and social obligation.

Job Description

Job Summary:

As a Senior Data Engineer at [Company Name], you will lead the format, development, and implementation of scalable data pipelines and data infrastructure answers. You will paint cautiously with information scientists, analysts, and enterprise stakeholders to ensure the supply, exceptional, and reliability of information throughout the business enterprise enterprise. Your function is pivotal in remodeling uncooked records into actionable insights and riding statistics-driven preference-making techniques.

Key Responsibilities For a Senior Data Engineer:

Data Pipeline Development:

• Design, boom, and keep sturdy information pipelines and ETL techniques to useful resource big-scale facts processing and analytics.
• Ensure records are accumulated, processed, and stored correctly, adhering to first-rate practices for usual overall performance and scalability.

Data Architecture:

• Develop and maintain the statistics structure method, alongside facet statistics modeling, information warehousing, and database management.
• Evaluate and select suitable information storage solutions (e.g., SQL, NoSQL, cloud storage) based totally on corporation goals and normal overall performance necessities.

Collaboration and Communication:

• Work with facts scientists, analysts, and exclusive stakeholders to recognize data requirements and deliver solutions that meet their desires.
• Communicate technical standards truly and efficaciously to every technical and non-technical stakeholder.

Data Quality and Governance:

• Implement and position impact statistics first-rate necessities and fine practices to ensure information accuracy, consistency, and reliability.
• Develop and hold information governance hints, inclusive of statistics safety and compliance with relevant pointers.

Performance Optimization:

• Monitor and optimize the general overall performance of records pipelines and databases to make certain excessive overall performance and scalability. (Senior Data Engineer)
• Troubleshoot and clear up commonplace performance issues and statistics-associated troubles proper away.

Innovation and Best Practices:

• Stay contemporary with employer dispositions, rising technologies, and wonderful practices in records engineering and information control.
• Introduce modern answers and upgrades to enhance records infrastructure and procedures.

Mentoring and Leadership:

• Provide technical steerage and mentorship to junior data engineers and organization individuals.
• Lead and participate in code critiques, design discussions, and knowledge-sharing durations.

Qualifications For a Senior Data Engineer :

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related scenario.
• Experience: Minimum of five years of enjoy in facts engineering, with a sturdy history in designing and imposing facts pipelines and information infrastructure.

Technical Skills:

• Proficiency in programming languages collectively with Python, Java, or Scala.
• Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Hands-on revel in massive records generation (e.g., Hadoop, Spark, Kafka).
• Familiarity with cloud structures (e.g., AWS, Google Cloud, Azure) and statistics services (e.g., Redshift, BigQuery). (Senior Data Engineer)
• Knowledge of facts modeling and statistics warehousing standards.

Soft Skills:

• Strong hassle-fixing talents and analytical capabilities.
• Excellent communication and interpersonal abilities.
• Ability to work independently and collaboratively in quick-paced surroundings.

Preferred Qualifications:

• Experience with device reading and superior analytics systems.
• Certifications in cloud records engineering or relevant technology.
• Prior experience in a control or mentoring position.

[Company Name] is a same-opportunity organization. We have a good time range and are dedicated to growing inclusive surroundings for all employees.

Application Instructions:

Please submit your resume and a cover letter outlining your experience and qualifications for the placement to [application email or link].

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