Administrator - Extract Transform Load (ETL), Data Lakes

Experience: 4 to 6 years

Location: Bangalore, India

Skills: Python, R, SQL, AWS, dash, plotly, ggplot2, data ingestion, data cleanup, model building, training, data visualization

Job Summary
Are you are a data scientist looking for a role where you can have broad-reaching positive impact and are enthusiastic about applying your analytics skillset to broad range of problems in risk, security, authentication, and cloud? How will you fulfill your potential? • Responsible for expanding the team’s analytic capabilities by building advanced statistical models, including machine learning algorithms • Responsible for all aspects of the data analytics lifecycle such as data ingestion, cleanup, model building, training, and evaluation • Responsible for summarization and concise presentation of quantified risk posture to management using open source visualization techniques, tools, and libraries • Responsible for working with various enterprise data sources and inventories for acquiring any enrichment data set and/or providing the enrichment that will help with the required risk modeling • Design, develop, test, and deliver complex analytics in a range of programming environments on large data sets

Basic Qualifications
• Strong verbal and written communication skills in English
• Ability to multi-task and effectively prioritize work
• Highly motivated self-starter who can provide thought leadership in data science
• Responsive to challenging tasks
• Ability to document and explain technical details in a concise and understandable manner
• Strong sense of ownership and driven to manage tasks to completion
• 4-6 years of relevant work experience in projects involving big scale data analytics and machine learning




• Proven knowledge of industry leading data analysis tools such as Python, R and SQL – Are these still accurate? Are these the latest ones that Yigit team or the firm is using?
• Experience in industry standard notebook technologies
• Knowledge of data analytics stack in cloud, preferably AWS
• Experience in data visualization using open source libraries (such as dash / plotly / ggplot2 and etc.)

Preferred Qualifications
• Bachelors in Computer Science, or any other Engineering Discipline or Mathematics.
• Interest in Cyber-Security, or Information Security or Risk Management is preferred
• Robust mathematical background (linear algebra, probability, and statistics)
• Excellent oral, written, and presentation communication skills

Key Responsibilities
How will you fulfill your potential? • Responsible for expanding the team’s analytic capabilities by building advanced statistical models, including machine learning algorithms • Responsible for all aspects of the data analytics lifecycle such as data ingestion, cleanup, model building, training, and evaluation • Responsible for summarization and concise presentation of quantified risk posture to management using open source visualization techniques, tools,



and libraries • Responsible for working with various enterprise data sources and inventories for acquiring any enrichment data set and/or providing the enrichment that will help with the required risk modeling • Design, develop, test, and deliver complex analytics in a range of programming environments on large data sets

Skill Requirements
How will you fulfill your potential? • Responsible for expanding the team’s analytic capabilities by building advanced statistical models, including machine learning algorithms • Responsible for all aspects of the data analytics lifecycle such as data ingestion, cleanup, model building, training, and evaluation • Responsible for summarization and concise presentation of quantified risk posture to management using open source visualization techniques, tools, and libraries • Responsible for working with various enterprise data sources and inventories for acquiring any enrichment data set and/or providing the enrichment that will help with the required risk modeling • Design, develop, test, and deliver complex analytics in a range of programming environments on large data sets

Other Requirements
How will you fulfill your potential? • Responsible for expanding the team’s analytic capabilities by building advanced statistical models, including machine learning algorithms • Responsible for all aspects of the data analytics lifecycle such as data ingestion, cleanup, model building, training, and evaluation • Responsible for summarization and concise presentation of quantified risk posture to management using open source visualization techniques, tools, and libraries • Responsible for working with various enterprise data sources and inventories for acquiring any enrichment data set and/or providing the enrichment that will help with the required risk modeling • Design, develop, test, and deliver complex analytics in a range of programming environments on large data sets

📌 Administrator Extract Transform Load (ETL), Data Lakes (Bengaluru)
🏢 HCL Technologies
📍 Bengaluru