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ENARKA INDIA PRIVATE LIMITED | Jobs | Lead Data Analysis | BigDataKB.com | 10-02-22

Job Location: Bangalore/Bengaluru

Designation

Data Analysis Lead

Department

Modelling and Data analysis

Reporting to

Head of department

Work Location

Bangalore

Minimum Qualification

Bachelor’s degree in computer science/ information technology, / applied math.

B.Tech with data engineering certifications like IBM Certified Data Engineer or Google’s Certified Professional in data science

Special expertise

  • Good understanding of DATA STRUCTURERS, Statistics & Mathematics

Experience in Years

  • 4 to 5 years

Additional skill set -Software knowledge

  • Strong Programming Skills
  • Understanding Machine learning and its integration with Data engineering.
  • Scripting knowledge to extract data from database

Mandatory requirements

  • Experience with relational SQL and NoSQL databases
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, etc
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Basic understanding of fundamental algorithms – searching, sorting, trees graphs, etc
  • Hands on experience in Data formatting (type conversion), data transformation (joining , slicing, indexing) and handling missing data
  • Experience in building ETL pipeline, strong Programming skills, working on cloud services, and deploying ML model in production
  • Experience in Data Visualization using relevant libraries of Python & building dashboards using Tableau

Target Companies

  • Premier school with Data Science as specialisation
  • Data engineering companies. (Intuit , netapp , Capgemini etc )

Strategic Accountability / Responsibilities

  • Create and maintain optimal data pipeline architecture,
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product development teams to assist with data-related technical issues and support data infrastructure needs.
  • Work with data and analytics experts to strive for greater functionality in our data systems

Operational Accountability / Responsibilities

  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL / NoSQL and database management technologies.
  • Identify, design, and implement automating manual processes, optimizing data delivery, designing infrastructure for greater scalability.
  • Create data tools for analytics and data scientist team members that assist them in building product

Internal interface

  • Cross functional teams
  • Heads of all Departments
  • All Employees

External interface

  • Data engineering Communities
  • Industrial associations/ professional forums

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