Data Engineer with ETL development AWS Glue

Role & responsibilities

Job Description: Overall 6 to 9 years 

Responsibilities: Data Engineer -ETL (AWS Glue) - Bangalore, IN

• Minimum of 6+ years of ETL development experience Knowledge of ETL ideas, tools, and data structures
• Understanding of data modelling concepts.
• Need to have Experience on AWS Cloud, EC2, IAM Roles, KMS keys, AWS Batch, Terraform/CFT  
• Hands on experience in  AWS Glue, PySpark
• Knowledge of different SQL/NoSQL data storage techniques and Big Data technologies
• SQL competence (query performance tuning, index management, etc.) and a grasp of database structure are required.
• Passionate about sophisticated data structures and problem solutions.
• Capability to analyze and troubleshoot complicated data sets
• Determines data storage requirements.
• Builds a data warehouse for the  utilizing various data warehousing ideas.
• Creates and improves data solutions that enable smooth data delivery and is in charge of gathering, processing, maintaining, and analyzing enormous amounts of data.
• Leads the logical data model design and implementation and the construction and implementation of operational data stores and data marts.
• Designs, automate, and supports sophisticated data extraction, transformation, and loading applications.
• Ensures the accuracy of data.
• For ETL applications, creates logical and physical data flow models.
• Data access, transformation, and mobility needs are translated into functional requirements and mapping designs. 

Requirements: 

• Bachelors degree in computer science, information technology, or a related field. 
• SQL skills 
• Proven work experience as an ETL developer. 
• Ability to troubleshoot and solve complex technical problems

Preferred candidate profile

Perks and benefits