Bangalore, Karnataka, India
Information Technology
Full-Time
Accenture in India
Overview
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Neo4j, Stardog
Good to have skills : Java
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Neo4j. - Good To Have Skills: Experience with Java. - Strong understanding of data modeling and graph database concepts. - Experience with data integration tools and ETL processes. - Familiarity with data quality frameworks and best practices. - Proficient in programming languages such as Python or Scala for data manipulation. Additional Information: - The candidate should have minimum 5 years of experience in Neo4j. - This position is based at our Bengaluru office. - A 15 years full time education is required.
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Neo4j, Stardog
Good to have skills : Java
Minimum 5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Neo4j. - Good To Have Skills: Experience with Java. - Strong understanding of data modeling and graph database concepts. - Experience with data integration tools and ETL processes. - Familiarity with data quality frameworks and best practices. - Proficient in programming languages such as Python or Scala for data manipulation. Additional Information: - The candidate should have minimum 5 years of experience in Neo4j. - This position is based at our Bengaluru office. - A 15 years full time education is required.
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