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Job Summary


Job Type
Permanent

Seniority
Senior

Years of Experience
At least 6 years

Tech Stacks
Analytics
HBase
Hive
Spark
NoSQL
kafka
SQL
Scala
Hadoop
Python
Java

Job Description


Apply
  • 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 analysis engines, visualization engines etc.
  • Work with data scientist and business analytics team to assist in data ingestion and data-related technical issues
Requirements

Qualifications, Experience & Knowledge Required :
  • Bachelor’s degree in IT, Computer Science, Software Engineering, Business Analytics or equivalent
  • Advanced university degree would be additional advantage
  • Minimum 6 years of experience in data warehousing / distributed system (e.g. Hadoop)
  • Experience with relational SQL and NoSQL DB
  • Expert in building and optimizing ‘big data’ data pipelines, architectures, and data sets
  • Experience in data ingestion, cleaning and processing tools.
  • Excellent experience in data processing using Scala/Python/Java
  • Proficient in Big data tools and ecosystem (e.g. HIVE, HBase, Kafka, Spark, ...)
  • Knowledge & practices of SDLC process and agile methodologies
  • Strong in user requirements gathering, maintenance, and support
  • Highly organized, self-motivated, pro-active, and able to plan
  • Experience managing users and vendors is a plus.

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