Data scientist

Mercedes Benz

8 - 13 years

9 - 14 Lacs

bengaluru

Posted:4 days ago| Platform:

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Skills Required

python sql spark kafka hadoop continuous integration kubernetes airflow data processing ci/cd microsoft azure cloud platforms azure data factory backend development data engineering docker data quality apache gcp devops big data aws etl data lake

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities

Design, build, and optimize scalable data pipelines and architectures for ingesting, processing, and analyzing largevolumes of data.
Collaborate with cross
functional teams to translate data requirements into technical solutions.
Develop reusable frameworks and automation scripts for data processing and integration.
Ensure data quality, security, and governance standards are met across platforms.
Contribute to DevOps and CI/CD practices for data platform components.
Monitor and troubleshoot system performance and reliability issues.
Document technical workflows and support knowledge sharing across teams.Required Skills:
4-8 years of experience in data engineering, big data platforms, or backend development.
Proficiency in tools and technologies such as Apache Spark, Kafka, Hadoop, SQL, Python, and cloud platforms (Azure/GCP/AWS).
Hands
on experience with data lake architectures, ETL/ELT tools, and orchestration frameworks like Airflow or AzureData Factory.
Familiarity with containerization (Docker/Kubernetes) and CI/CD pipelines.
Strong problem
solving skills and experience in handling large
scale data environments.
Excellent communication and stakeholder collaboration skills.

Qualification

Bachelor's / Masters degree in [Engineering discipline e.g., Mechanical, Electronics, Computer Science, etc.]

Why Join Us?

Be part of a purpose-driven organization thats shaping the future of mobility.
Work on cutting-edge technologies and global projects.
Thrive in a collaborative, diverse, and inclusive environment.
Access world-class infrastructure and learning opportunities.

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