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Accenture
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Data Platform Engineer

Data Platform Engineer

Accenture

4 - 9 years

9 - 13 Lacs

bengaluru

Posted:5 hours ago| Platform:

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Skills Required

data modeling spark data engineering data bricks troubleshooting hive continuous integration amazon redshift ci/cd pyspark sql git java hadoop etl big data python nosql pipeline data quality amazon ec2 kafka data governance sqoop aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role

Project Role :Data Platform Engineer

Project Role Description :Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
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 Senior Data Engineer/Backend Developer with deep knowledge on Databricks or MS Fabric, you will design, develop, and maintain scalable data pipelines and systems using Databricks/Fabric. Your typical day will involve optimizing and tuning of data processing workflows for better performance. You will also be responsible to ensure data quality, integrity and security across applications. You should possess very good communication skills to liaise with the client stakeholders and other experts like Data scientists, architects and modelers to translate business requirements into effective data solutions, while also addressing any challenges that arise during the development process.
Roles & Responsibilities

Independently design, build, and maintain scalable ETL/ELT pipelines using Databricks with Py Spark to integrate and transform data from various sources

Monitor, troubleshoot, and optimize Spark jobs and clusters to ensure high performance and cost-efficiency for large datasets

Build automated workflows using Databricks Workflows or other orchestration tools

Engage with multiple teams like data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions to contribute on key decisions.

Utilize version control tools like Git and practice CI/CD best practices for automating deployments.

Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous improvement.
Professional & Technical Skills:

Must Have
Skills:

Proficiency in Databricks with strong troubleshooting skills.

Good to have skill:Understanding MS Fabric concepts

Strong understanding of data modeling techniques and best practices.

Experience with data pipelines, ETL processes and data integration tools.

Proficiency in Apache Spark and in programming languages such as Python.

Familiarity with cloud data platforms and services.

Ability to design and implement data governance frameworks.

Hands-on ability to handle large volumes of data in day-to-day tasks.
Additional Information:

The candidate should have minimum 4 years of experience in Databricks.

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

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Data Platform Engineer