Data Engineer
Accenture · Bengaluru · onsite · Posted 44d ago
Undisclosed3–8 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
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 : Data Engineering
Good to have skills : Python (Programming Language), AWS Glue, Java (Programming Language)
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow across various systems. Ensuring the accuracy and quality of data is a key part of your role, along with implementing processes to extract, transform, and load data effectively. Your work enables seamless data migration and deployment, supporting the broader data infrastructure and analytics needs of the organization.
Roles Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
- Monitor and optimize data pipelines to ensure high performance and reliability.
- Document data processes and workflows to maintain clarity and support knowledge sharing.
- Assist junior team members by providing guidance and support in their tasks.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Good To Have Skills: Java (Programming Language), Python (Programming Language), AWS Glue.
- Strong knowledge of data pipeline architecture and ETL frameworks.
- Experience with data storage solutions such as relational and non-relational databases.
- Familiarity with cloud-based data services and infrastructure.
- Ability to troubleshoot and resolve data processing issues efficiently.
- The candidate should have minimum 3 years of experience in Data Engineering.
- This position is based at our BDC14A - STPI location.
- A 15 years full time education is required.
Qualification
15 years full time education
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 : Data Engineering
Good to have skills : Python (Programming Language), AWS Glue, Java (Programming Language)
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow across various systems. Ensuring the accuracy and quality of data is a key part of your role, along with implementing processes to extract, transform, and load data effectively. Your work enables seamless data migration and deployment, supporting the broader data infrastructure and analytics needs of the organization.
Roles Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable data solutions.
- Monitor and optimize data pipelines to ensure high performance and reliability.
- Document data processes and workflows to maintain clarity and support knowledge sharing.
- Assist junior team members by providing guidance and support in their tasks.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering.
- Good To Have Skills: Java (Programming Language), Python (Programming Language), AWS Glue.
- Strong knowledge of data pipeline architecture and ETL frameworks.
- Experience with data storage solutions such as relational and non-relational databases.
- Familiarity with cloud-based data services and infrastructure.
- Ability to troubleshoot and resolve data processing issues efficiently.
- The candidate should have minimum 3 years of experience in Data Engineering.
- This position is based at our BDC14A - STPI location.
- A 15 years full time education is required.
Qualification
15 years full time education
Sourced from naukri
Skills
data qualityAws GlueData Engineerdata servicesamazon web servicesdata storagedata infrastructuredata pipeline architectureAnalyticsdeploymentGoogle DataFlowData EngineeringData MigrationcloudArchitectureData ProcessingETLData Pipeline
About Accenture
Accenture
IT Services & Consulting
350k+
employees
1989
37 years old
Dublin
Ireland
About
Accenture plc is an Irish-American, professional services company based in Dublin, specializing in information technology services and consulting.
Industries
IT Services & ConsultingAnalytics & KPOSoftware ProductManagement Consulting
Employee ratings
73,428 reviews
3.7/ 5
Culture
3.7
Career growth
2.8
Work-life
3.6
Employees rate it well for
Work Life Balance8779Work Culture7586Salary7496Learning5602Senior Management4852
Find them on