Search by job, company or skills

Data Engineer

Data Engineer

Accenture
3-5 Years
Not Disclosed

This job is no longer accepting applications

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 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 extract, transform, and load processes to facilitate smooth data flow and accessibility within the organization. Collaboration with different teams to support data-driven initiatives is also a key aspect of daily activities.

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 data solutions.
  • Monitor and optimize data pipelines to ensure high performance and reliability.
  • Document data processes and workflows to maintain clarity and support knowledge sharing.
  • Assist junior team members by providing guidance and support in their tasks.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Microsoft Azure Databricks.
  • Experience with cloud-based data platforms and distributed computing environments.
  • Strong knowledge of data pipeline architecture and ETL process design.
  • Familiarity with data storage solutions and data integration techniques.
  • Ability to troubleshoot and resolve data processing issues efficiently.
  • Understanding of data governance and data quality best practices.

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:
Industry:
Employment Type:

Key Skills

ETL process design

data storage solutions

data integration techniques

distributed computing environments

cloud-based data platforms

data quality best practices

Microsoft Azure Databricks

data pipeline architecture

About Company

Similar Jobs

7-10 yrs
Hyderabad, India
Skills:
data engineering , Streaming, integration design, Data Modeling, Hadoop, Debugging, Scala, Kafka, Sql, ELT, Data Quality, Spark, Data Warehousing, Data Governance, Python, Etl, Problem Solving, Performance Optimization, Data Lakes, Big Data Processing, Collaboration, Event Hubs, Cloud Data Platforms
6-8 yrs
Hyderabad, India
Skills:
PostgreSQL, Mariadb, Apache Spark, Soap, Sql, REST, Gcp, Terraform, Docker, Kubernetes, Python, AWS, Data quality governance validation, Distributed systems workflow orchestration, CI CD, AI Agentic evaluation pipelines and ground-truth datasets, ServiceNow CMDB
5-12 yrs
Hyderabad, India
Skills:
S3, Data Warehouse, Lambda, Docker, Data Lake, Kubernetes, Data Ingestion, Compute Engines, Processing and Orchestration tools, AWS PaaS platforms, AWS Cloud data-based development and migration, Amazon EKS, Cloud Components, Dms, Load balancer setup, Cloud and infrastructure components, Glue, Backup DR security and compliance, Serverless, Applications Migration to Cloud, CI CD Integration and deployment, Lake House Design Implementation, Cloud native Architecture
3-5 yrs
Hyderabad, India
Skills:
Distributed Computing, Pyspark, Performance Tuning, Resource Management, data pipelines, data storage solutions, data integration techniques, data processing frameworks
5-7 yrs
Hyderabad, India
Skills:
Pyspark, Azure Data Factory, Apache Kafka, Python, Sql, Azure DevOps, Azure Databricks, Azure cloud data services technologies, Logging and Monitoring using Azure Databricks services, Delta live tables, Data Modelling Architecture, ETL pipeline design, Unity Catalog