HYDERABAD · FULLTIME
Data Engineer
Accenture
Hyderabad · onsite · Posted 47d ago
Sourced from
Undisclosed3–8 yrsfulltimeHyderabad
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Section · 01
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 : MongoDB
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your day involves designing, developing, and maintaining comprehensive data solutions that support data generation, collection, and processing activities. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. Collaboration with different teams to align data strategies and optimize system performance is a key aspect of your daily responsibilities.
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 solutions.
- Monitor and troubleshoot data pipelines to ensure continuous and reliable data availability.
- Document data processes and workflows to support knowledge sharing and operational transparency.
- Assist junior team members in understanding project requirements and technical challenges.
Professional Technical Skills:
- Must To Have Skills: Proficiency in MongoDB.
- Experience in designing and optimizing database schemas for performance and scalability.
- Strong knowledge of data modeling and query optimization techniques.
- Familiarity with ETL tools and processes to manage data extraction, transformation, and loading.
- Ability to work with large datasets and ensure data quality and consistency.
- Understanding of distributed data systems and cloud-based data storage solutions.
- The candidate should have minimum 3 years of experience in MongoDB.
- This position is based at our HDC4 - SEZ 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 : MongoDB
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your day involves designing, developing, and maintaining comprehensive data solutions that support data generation, collection, and processing activities. You will be responsible for creating efficient data pipelines that facilitate smooth data flow and ensure the integrity and quality of data throughout its lifecycle. Your role includes implementing processes to extract, transform, and load data, enabling seamless migration and deployment across various systems. Collaboration with different teams to align data strategies and optimize system performance is a key aspect of your daily responsibilities.
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 solutions.
- Monitor and troubleshoot data pipelines to ensure continuous and reliable data availability.
- Document data processes and workflows to support knowledge sharing and operational transparency.
- Assist junior team members in understanding project requirements and technical challenges.
Professional Technical Skills:
- Must To Have Skills: Proficiency in MongoDB.
- Experience in designing and optimizing database schemas for performance and scalability.
- Strong knowledge of data modeling and query optimization techniques.
- Familiarity with ETL tools and processes to manage data extraction, transformation, and loading.
- Ability to work with large datasets and ensure data quality and consistency.
- Understanding of distributed data systems and cloud-based data storage solutions.
- The candidate should have minimum 3 years of experience in MongoDB.
- This position is based at our HDC4 - SEZ location.
- A 15 years full time education is required.
Qualification
15 years full time education
Sourced from naukri
Section · 02
Skills
data qualitydata extractionData EngineerworkflowsQuery Optimizationetl toolsdata systemsdata storagedeploymentGoogle DataFlowMongoDBcloudETLData ModelingData Pipeline
Section · Company
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
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