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Data Engineer

Data Engineer

Accenture

2 - 4 years

4 - 8 Lacs

bengaluru

Posted:1 hour ago| Platform:

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Skills Required

data engineer python data services data pipelines d data engineer ai databricks microsoft azure cloud platforms machine learning sql data quality software architecture git spark devops kafka jenkins big data etl programming architecture azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The 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 :Microsoft Azure Databricks

Good to have skills :Python (Programming Language), PySpark, Microsoft Azure Data Services
Minimum 3 year(s) of experience is required

Educational Qualification :15 years full time education
Summary:As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data solutions are efficient, scalable, and aligned with business objectives. You will also monitor and optimize existing data processes to enhance performance and reliability, making data-driven decisions to support organizational goals.
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 stakeholders to gather and analyze data requirements.

Design and implement data models that support business needs.Must have

Proficiency in programming languages such as Python, SQL, and experience with big data technology - Spark.

Experience with cloud platforms mainly on Microsoft Azure.

Experience on Microsoft Azure Databricks and Azure Data Factory.

Experience with CI/CD processes and tools, including Azure DevOps, Jenkins, and Git, to ensure smooth and efficient deployment of data solutions.

Familiarity with APIs to push and Pull data from data systems and Platforms.

Familiarity with understanding software architecture High level Design document and translating them to developmental tasks.

Familiarity with Microsoft data stack such as Azure Data Factory, Azure Synapse, Databricks, Azure DevOps and Fabric / PowerBI. Nice to have:

Experience with machine learning and AI technologies

Data Modelling & Architecture

ETL pipeline design

Azure DevOps

Logging and Monitoring using Azure / Databricks services

Apache Kafka
Additional Information:

A 15 years full time education is required.
Qualification 15 years full time education

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Data Engineer