Data Engineer
Accenture · Gurugram · onsite · Posted 35d 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 : Snowflake Data Warehouse
Good to have skills : Amazon Redshift, AWS S3 (Simple Storage Service), AWS DynamoDB
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 includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position requires implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for organizational needs. Collaboration with different teams to align data strategies and troubleshoot data-related challenges is also a key part of daily activities.
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 efforts to optimize data workflows and improve system performance.
- Mentor junior team members to support their professional growth and skill development.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Snowflake Data Warehouse.
- Good To Have Skills: Experience with AWS S3 (Simple Storage Service), AWS DynamoDB, Amazon Redshift.
- Strong knowledge of data pipeline architecture and best practices for data integration.
- Experience in designing and implementing ETL processes to handle large-scale data migration.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to troubleshoot and resolve complex data issues to maintain data quality and reliability.
- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Exception - New Project
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 : Snowflake Data Warehouse
Good to have skills : Amazon Redshift, AWS S3 (Simple Storage Service), AWS DynamoDB
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 includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position requires implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for organizational needs. Collaboration with different teams to align data strategies and troubleshoot data-related challenges is also a key part of daily activities.
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 efforts to optimize data workflows and improve system performance.
- Mentor junior team members to support their professional growth and skill development.
Professional Technical Skills:
- Must To Have Skills: Proficiency in Snowflake Data Warehouse.
- Good To Have Skills: Experience with AWS S3 (Simple Storage Service), AWS DynamoDB, Amazon Redshift.
- Strong knowledge of data pipeline architecture and best practices for data integration.
- Experience in designing and implementing ETL processes to handle large-scale data migration.
- Familiarity with cloud-based data storage and processing solutions.
- Ability to troubleshoot and resolve complex data issues to maintain data quality and reliability.
- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Exception - New Project
Qualification
15 years full time education
Sourced from naukri
Skills
data qualityData EngineerDynamo Dbamazon web servicesdata storageredshiftdata pipeline architectureETL ProcessesAWS S3deploymentGoogle DataFlowData MigrationcloudArchitectureData IntegrationETLData Pipeline
About Accenture
Accenture
IT Services & Consulting
350k+
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1989
37 years old
Dublin
Ireland
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