Data Engineer

Procter & Gamble

0 years

5 - 9 Lacs

Hyderābād

Posted:5 days ago| Platform: GlassDoor logo

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Skills Required

data development coding design spark joins reliability monitoring databricks engineering

Work Mode

On-site

Job Type

Part Time

Job Description

Key Responsibilities:

Productionize pipelines for large, complex data sets which meet technical and business requirements.
Partner with data asset managers, architects, and development leads to ensure a sound technical solution.
Follow, and contribute to, coding standards and best practices to ensure pipelines and components are efficient, robust, cost effective and reusable.
Identify, design, and implement internal process improvements.
Optimize Spark jobs for performance and cost. Tune configurations, minimize shuffles, and leverage advanced techniques like broadcast joins, caching, and partitioning.
Ensure data quality, reliability, and performance by implementing best practices for data validation, monitoring, and optimization.
Monitor and troubleshoot data pipelines and workflows to ensure seamless operation.
Stay updated on the latest Databricks features, tools, and industry trends to continuously improve data engineering practices.
Strong understanding of distributed computing concepts and big data processing.
Excellent problem-solving skills and the ability to work collaboratively in a team environment.

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