Team Center PLM

4 days ago

Bengaluru, Karnataka, India Mehbooba Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Title: Data Engineer

Skill Required: Digital : Databricks

Experience Range: 5-8Years

Role: Data Engineer

Responsibilities:

We are looking for a Data Engineer who can work as individual contributor within Team, should have good communication skills. Need to involve in requirement discussion and responsible for designing, building and maintaining the infrastructure that enables data collection, storage and processing.

Key Responsibilities:


• Data pipeline development

o Design, build and maintain scalable ETL (Extract, Transform, Load)

o Automate data ingestion from multiple sources (APIs, database, files, etc.).


• Data Storage & Management

o Develop and optimize data storage solutions (e.g. datalakes, warehoures)

o Ensure data integrity, consistency and security across systems.

o Work with Azure cloud storage


• Data Processing & Transformation

o Process and clean raw data for analysis and visualization report

o Implement real-time and batch data processing workflows using Spark, Kafka


• Database Management

o Design and optimize relations (SQL) and NoSQL databases.

o Improve database performance indexing, and query optimization


• Data Governance & Security

o Implement Data quality, validation and governance standards.

o Ensure compliance with data privacy

o

Requirements:


• Strong proficiency in Databricks, Azure Data Factory and API integration.


• Proficiency in programming languages such as Python, SQL and PySpark.


• Familiarity with data modeling, ETL processes and data governance.


• Design, develop and maintain robust and scalable data pipelines using Databricks, Azure Data Factory


• Familiarity with DevOps practices and tools for CI/CD pipelines.


• Experience with Azure cloud platform


• Integrate data from various APIs and external sources to enrich and expand datasets.


• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.


• Implement data integration processes to collect and store structured and unstructured data from multiple sources.


• Ensure data quality and integrity throughout the data lifecycle.


• Excellent attention to detail and ability to work independently.

  • • Strong communication and collaboration skills.

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