Data Engineer
Accenture · Bengaluru · onsite · Posted 49d ago
Undisclosed5–10 yrsfulltimeSourced from
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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 Modeling Techniques and Methodologies
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines to facilitate smooth data flow and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data across various systems, enabling seamless data migration and deployment. Collaboration with different teams to align data strategies and optimize system performance is an integral part of daily activities, fostering a dynamic and solution-oriented work environment.
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.
- Lead the development and optimization of data workflows to enhance operational efficiency.
- Mentor junior team members to support their professional growth and skill development.
- Coordinate cross-functional efforts to ensure data architecture aligns with organizational goals.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.
- Strong knowledge of database design principles and data warehousing concepts.
- Experience in building scalable and reliable data pipelines for large datasets.
- Familiarity with data integration and transformation tools and frameworks.
- Ability to troubleshoot and optimize data processing workflows for performance and accuracy.
- Understanding of data governance and quality assurance practices.
- The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies.
- This position is based at our Bengaluru office.
- 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 Modeling Techniques and Methodologies
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines to facilitate smooth data flow and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data across various systems, enabling seamless data migration and deployment. Collaboration with different teams to align data strategies and optimize system performance is an integral part of daily activities, fostering a dynamic and solution-oriented work environment.
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.
- Lead the development and optimization of data workflows to enhance operational efficiency.
- Mentor junior team members to support their professional growth and skill development.
- Coordinate cross-functional efforts to ensure data architecture aligns with organizational goals.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.
- Strong knowledge of database design principles and data warehousing concepts.
- Experience in building scalable and reliable data pipelines for large datasets.
- Familiarity with data integration and transformation tools and frameworks.
- Ability to troubleshoot and optimize data processing workflows for performance and accuracy.
- Understanding of data governance and quality assurance practices.
- The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Qualification
15 years full time education
Sourced from naukri
Skills
data qualityData EngineerDatabase Designdata architecturedeploymentGoogle DataFlowData MigrationQuality AssuranceData WarehousingArchitectureData IntegrationData GovernanceData ProcessingETLData ModelingData 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.
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