Data Engineer
1 month ago
Role- Data Engineer
Experience Level: 5+
Should have the following Mandatory skills:
Good working experience in SOLR and Elastic Search
Good in Machine learning & NLP techniques with work experience.
Excellent experience in data processing using Python
Experience with relational SQL, NoSQL DB, Streaming and ETL.
Experience with integration of data from multiple data sources.
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Experience in data ingestion, cleaning and processing tools.
Proficient in Big data tools and ecosystem for data analytics, including Spark, Kafka
Highly organized, self-motivated, pro-active & quick learner.
AWS, Azure Databrics knowledge/training/certification is a plus.
Responsibilities:
Understand business requirement to build reliable data infrastructure using big data technologies
Work with the data engineering team to develop & maintain data pipelines for batch & stream processing.
Build tools suitable to provide data 24x7 for a global team, thru acquiring, monitoring and root cause analysis of data issues
Identify, design, and implement internal process improvements and tools to automate data processing and ensure data integrity while meeting data security standards
Build tools for better discovery and consumption of data for various consumption models in the organization DataMarts, Warehouses, APIs, Adhoc Data explorations
Architect and create data views from big data store to feed into visualization analysis engines, engines etc.
Work with data scientist and business analytics team to assist in data ingestion and data-related technical issues
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