Data Engineer

Mercedes Benz

2 - 4 years

6 - 10 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

python sql queries big data technologies data bricks agile methodology continuous integration ci/cd microsoft azure data warehousing data architecture data engineering nosql lambda expressions spark kafka jenkins hadoop aws big data etl

Work Mode

Work from Office

Job Type

Full Time

Job Description

Roles & Responsibilities

Design & Build Scalable Data Solutions
Improve data processing efficiency, ensuring scalability, speed, and reliability.
Work closely with data scientists, analysts, business teams, product owners to understand data needs and deliver reliable, well-structured products.
Mentor junior engineers, conduct code reviews, and promote best practices in data engineering.

Mandatory Skills:

2-4 years experience in Data Engineering
Deep hands-on expertise in Databricks, Python, SQL queries.
Must be experienced in
Design and implementation of Big Data technologies (Apache Spark, Hadoop ecosystem, Apache Kafka, NoSQL databases)
Working as a Big Data Engineer: query tuning, performance tuning,
Data architecture patterns (Data Lakehouse, delta lake, streaming, Lambda/Kappa architecture)
A full range of data engineering approaches, covering theoretical best practices and the technical applications of these methods.
Building and deploying a range of data engineering pipelines into production, including using automation best practices for CI/CD.
Troubleshooting, and debugging Spark and other big data solutions.
Writing SQL queries.
Databases and analytics technologies Data Warehousing/ETL/ELT, Relational Databases, or MPP
Experience using code management tools such as Github Actions, Jenkins or Azure DevOps and cloud computing platforms such as Azure, AWS

Requirements

Bachelors degree in computer science, Engineering, or related field.
Excellent problem-solving skills and attention to detail.
Ability to work independently and as part of a team.
Excellent communication (written and verbal)

Preferred Qualifications

Azure cloud and creating Azure ADF pipelines.
data analytics and complex event processing
Strong understanding of Agile methodologies and experience working in Scrum teams, contributing to sprints, backlog refinement, and iterative development.

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