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Open nowPosted 443 days ago

Pyspark-Accenture

Codersbrain

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 443 days ago

The posting

Pyspark

## Company Overview Company details are not specified.

## Job Summary The role of a Pyspark Developer largely focuses on utilizing Pyspark to develop, manage, and optimize big data processes and solutions. This position is crucial for driving data analytics and ensuring efficient data handling to meet the organization's strategic goals.

## Responsibilities - Develop robust data processing solutions using Pyspark and Apache Spark frameworks. - Collaborate with data engineers and data scientists to integrate various data sources. - Optimize data workflows for performance improvements in data processing tasks. - Perform data cleaning and transformation functions to prepare datasets for analysis. - Ensure the accuracy and consistency of data across various platforms. - Monitor and troubleshoot data processing jobs to resolve issues and enhance performance.

## Qualifications - Proficiency in Pyspark and Apache Spark ecosystem. - Strong understanding of big data technologies and frameworks. - Experience with SQL, data warehousing, and ETL processes. - Knowledge of cloud platforms like AWS, Azure, or Google Cloud preferred. - Familiarity with data visualization tools such as Tableau or Power BI is a plus. - Ability to work collaboratively in a team-oriented environment. - Excellent problem-solving and analytical skills. - Bachelor’s degree in Computer Science, Information Technology, or related field.

## Preferred Skills - Experience with Python programming and data science libraries like Pandas and NumPy. - Knowledge of machine learning algorithms and data modeling techniques. - Familiarity with container technologies like Docker or Kubernetes.

## Experience Previous experience in big data development or analytics roles is preferred, though specific years of experience are not specified.

## Environment The typical work setting is flexible, including remote, in-office, or hybrid options as per company policy and project requirements.

## Salary Salary details are not specified.

## Growth Opportunities Opportunities for career advancement within the company are not specified.

## Benefits Benefits offered by the company are not specified.

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