Search by job, company or skills

A

Data Engineer

Accenture
Hyderabad, India
3-5 Years
Save
  • Posted 11 hours ago
  • Be among the first 10 applicants
Early Applicant

Job Description

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 : NA

Minimum 3 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 and ensuring the seamless migration and deployment of data across various systems. The position demands continuous attention to data quality and the implementation of processes that facilitate smooth data flow and accessibility, contributing to the overall data infrastructure and operational efficiency within 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 solutions.
  • Monitor and optimize data workflows to enhance performance and reliability.
  • Document data processes and maintain clear communication channels within the team.
  • Support junior team members by sharing knowledge and assisting with technical challenges.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Data Engineering.
  • Experience with designing and implementing data pipelines and ETL processes.
  • Strong knowledge of data storage solutions and database management.
  • Familiarity with cloud platforms and distributed computing frameworks.
  • Ability to troubleshoot and optimize data workflows for efficiency and scalability.
  • Understanding of data quality assurance and validation techniques.

Additional Information:

  • The candidate should have minimum 3 years of experience in Data Engineering.
  • This position is based at our Hyderabad office.
  • A 15 years full time education is required.

, 15 years full time education



More Info

Job Type:
Permanent Job
Industry:
Other
Function:
Data Engineering
Employment Type:
Full time

About Company

Accenture

Job ID: 151141925

Jobs by Skill - IT
Jobs by Skill - Non IT
International Jobs
Last Updated: 13-07-2026 06:18:43 PM
Homejobs in Hyderabad / Secunderabad, TelanganaData Engineer

Similar Jobs

Data Engineer

Accenture
A
Hyderabad, India

Skills:

Data Modeling, Performance Tuning, Schema Design, cloud-based data storage, Optimization Techniques, data pipeline development, integration issues, ETL processes, Snowflake Data Warehouse

Data Bricks and Data Engineer

Tata Consultancy Services
T
Hyderabad, India

Skills:

snowflake , Pyspark, Apache Spark, Informatica, Sql, Azure Synapse, Azure Data Factory, Gcp, Databricks, Azure, Talend, AWS, Big Query, MLlib, Event Hub, CI CD pipelines

Senior Data Engineer

IQ-EQ
Hyderabad, India

Skills:

data engineering , snowflake , PostgreSQL, Scala, Pyspark, Kafka, Microsoft Sql Server, Bash, Kotlin, Redshift, Numpy, Pandas, Kinesis, Gcp, Linux, MySQL, Databricks, Azure, Python, AWS, Go, Dask

Azure Data Engineer

Arcadis
Hyderabad, India

Skills:

T-sql, Azure Data Bricks, Ssrs, Pyspark, Python, Power Bi, Scala, SSIS, Azure Data Factory, Ssas, Dax, Azure Data Lake Store, Warehouse, Microsoft Fabric Pipelines, Dataflows, Delta tables, Azure Data Platform, Azure Analysis Services, Delta Lake operations, Gen2 Notebooks, Azure SQL DW, Azure Data Lake Analytics, Lakehouse, Azure SQL DB, Gen2 ADLS

IT Developer - Data Engineer

Medtronic
Hyderabad, India

Skills:

snowflake , Automation Frameworks, Data Modeling, Apis, Pyspark, Apache Spark, Sql, ELT, Devops, Databricks, Python, Etl, Performance Optimization, Cloud-based Data Engineering Architectures, Workflow Orchestration, Distributed Data Processing