Search by job, company or skills

A

Data Engineer

Accenture
Hyderabad, India
3-5 Years
Save
new job description bg glownew job description bg glow
  • Posted an hour 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 : Microsoft Azure Databricks

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 includes creating efficient data pipelines to facilitate smooth data flow, ensuring the accuracy and reliability of data, and implementing processes to extract, transform, and load data across various systems. The position requires continuous monitoring and optimization of data workflows to support organizational needs and enable seamless data migration and deployment.

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 pipeline issues to maintain system reliability and performance.
  • Document data processes and workflows to ensure clarity and maintainability.
  • Support junior team members by sharing knowledge and assisting with technical challenges.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Microsoft Azure Databricks.
  • Experience in building and managing scalable data pipelines and workflows.
  • Strong knowledge of data integration and ETL processes.
  • Familiarity with cloud-based data storage and processing solutions.
  • Ability to optimize data processing for performance and cost efficiency.
  • Understanding of data quality assurance and validation techniques.

Additional Information:

  • The candidate should have minimum 3 years of experience in Microsoft Azure Databricks.
  • 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: 148088817

Jobs by Skill - IT
Jobs by Skill - Non IT
International Jobs
Last Updated: 22-05-2026 05:48:05 PM
Homejobs in Hyderabad / Secunderabad, TelanganaData Engineer

Similar Jobs

Data Engineer

Accenture
A
Hyderabad, India

Skills:

Data Modeling, ETL processes, data integration techniques, data quality frameworks, database design principles, MicroStrategy Business Intelligence, data warehousing concepts and practices

Sr. Associate Data Engineer

Amgen
A
Hyderabad, India

Skills:

Tableau, Databricks, Big Data Technologies, Sql, Data Modeling, Data Warehousing, Data Architecture, Data Visualization, AWS, Python, Data Integration, Data governance frameworks, ETL processes

Data Engineer, Global Procurement Technology

Amazon Railings
Hyderabad, India

Skills:

graph databases , object storage , Java, Scala, AWS Glue, Nodejs, Data Modeling, Sql, Python, column-family databases, key-value stores, IAM roles and permissions, non-relational databases, ETL pipelines

EY - GDS Consulting - AI And DATA - Data Engineer - Senior

EY
Hyderabad, India

Skills:

data engineering , snowflake , Github, PostgreSQL, Pyspark, Data Warehousing, Numpy, MySQL, Python, AWS, Data Modelling, Api Development, Sql, Jenkins, Git, Gcp, Pandas, Databricks, Azure, Aws S3, machine learning workflows, Dash, Agentic AI frameworks, BI ETL development, NoSQL databases, cloud platforms, microservices architecture, AI-driven analytics, CI CD pipelines

Lead Data Engineer

Arcesium
Hyderabad, India

Skills:

data engineering , Hadoop, Adf, Kafka, Sql, ELT, Elasticsearch, Spark, Data Warehousing, Python, Etl, Airflow, Data Lakes, Data Pipelines, DevOps practices, Glue Workflow, NoSQL databases, Data Analytics tools