Job Description
Job Title: Big Data Engineer
Key Responsibilities
Demonstrate deep hands-on expertise in Databricks, Python, and SQL, Design and implement Big Data solutions using technologies such as:
Apache Spark, Hadoop ecosystem, Apache Kafka
NoSQL databases (e-g
, MongoDB, Cassandra)
Work as a Big Data Engineer with a strong focus on:
Query and performance tuning
Troubleshooting and debugging Spark and other big data solutions
Writing complex SQL queries
Implement and work with data architecture patterns, including:
Data Lakehouse, Delta Lake
Streaming architectures (Lambda/Kappa)
Build and deploy data engineering pipelines using CI/CD automation best practices, Apply theoretical best practices to technical data engineering methods and solutions, Work with Data Warehousing/ETL/ELT, Relational Databases, and Massively Parallel Processing (MPP) technologies, Additional Knowledge & Exposure
Understanding of the Data Lifecycle and Data Mesh concepts, Familiarity with eXtollo service offerings and onboarding processes, Experience with Azure Cloud and Azure Data Factory (ADF) pipelines, Exposure to data analytics and complex event processing (CEP), (Preferred) Knowledge of the Aftersales domain and its data sources, Required Skills
Excellent written and verbal communication skills, Strong analytical and problem-solving abilities, Collaborative mindset with the ability to work in a fast-paced, agile environment, Qualifications
Bachelor of Engineering in Computer Science, Information Technology, or a related field, Preferred Certifications: Azure, Databricks,
Job Classification
Industry: Automobile
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Mercedes Benz Research
Location(s): Bengaluru
Keyskills:
python
performance tuning
hadoop
elt
mongodb
sql
communication skills