GlobalLogic India Private Limited | Jobs | Data Engineer | BigDataKB.com | 12-02-22

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Job Location: Noida

Job Description: Data Engineer
Organization Prof. Experience/Qualification
Education
Role
โ€ข Bachelors in Computer Science or Math or Statistics
Data Engineer will create and maintain the tech. infrastructure required for optimal processing of
Experience
data. He/she will provide structured data to enable Data Scientist to analyze and build Demand
โ€ข 5+ years of experience in data engineering and data management
Sensing tool for predictive hiring. Role includes developing data models, creating data pipelines,
Specialized skills/others
and managing data retrieval, storage and distribution.
โ€ข Hadoop, Hive, Pig, Scala (Good to have), Java
Compensation Negotiable
โ€ข Amazon Web Services/Redshift (for data warehousing)
โ€ข Strong Algorithms, Data Cleansing techniques along with ETL
Organizational unit, Location Tech. Team, Ascend Program, Indiaโ€ข Good experience with SQL with Pig/Hive or similar tech and knowledge of Python is preferred.
Reports to
Head, Engineering, Ascend Program
Direct reports NA Main Interfaces
Data Scientist, Head TAG, Head L&D, Placement Liaison, Delivery Heads; external parties
including 3rd party data source tools/platform vendorsPrimary Accountabilities โ€“ Talent Engine 2.0 implementation (next 12 months)
โ€ข Alignment on data needs: Communicate with Data Scientist to understand the data
requirements and customization required for building the Demand Sensing tool โ€ข Process improvements: Evaluate data quality issues and implement process improvements;
refine data reporting processes through automation and simplification of self-service options โ€ข Data preparation: Cleanse raw data and ensure data is comprehensive and robust; establish
rules for treating missing values (delete, sum, average etc.) and fix errors to prepare data for
predictive modeling by Data Scientist โ€ข Policies, methods and standards: Document database structures, data standards, procedures
and definitions for the data dictionaryโ€ข Data pipeline development: Build and maintain data pipelines and databases to collect and
transform data from multiple sources โ€“ internal data (CRM/sales pipeline, HR MIS data etc.) and
external sources (3rd Party tools, research agencies, professional networks etc.)
KPIs
1. Data quality (# incidents/issues reported by user e.g. Data Scientist)
2. Data uptime (% of times data delivered/updated per expected frequency)
3. % availability1 of data systems
1) % of times the data systems are operational under normal circumstances
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