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PySpark Data Engineer

Viraaj HR Solutions Private Limited

0 years

0 Lacs

Hyderabad Telangana India

Posted:3 days ago| Platform:

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Skills Required

pyspark data recruitment integrity collaboration service design processing efficiency etl support reporting testing resolve sql extract storage code governance compliance training technology architecture nosql aws azure python programming communication agile tableau power

Work Mode

On-site

Job Type

Full Time

Job Description

Company Overview Viraaj HR Solutions is a leading recruitment firm in India, dedicated to connecting top talent with industry-leading companies. We focus on understanding the unique needs of each client, providing tailored HR solutions that enhance their workforce capabilities. Our mission is to empower organizations by bridging the gap between talent and opportunity. We value integrity, collaboration, and excellence in service delivery, ensuring a seamless experience for both candidates and employers. Job Title: PySpark Data Engineer Work Mode: On-Site Location: India Role Responsibilities Design, develop, and maintain data pipelines using PySpark. Collaborate with data scientists and analysts to gather data requirements. Optimize data processing workflows for efficiency and performance. Implement ETL processes to integrate data from various sources. Create and maintain data models that support analytical reporting. Ensure data quality and accuracy through rigorous testing and validation. Monitor and troubleshoot production data pipelines to resolve issues. Work with SQL databases to extract and manipulate data as needed. Utilize cloud technologies for data storage and processing solutions. Participate in code reviews and provide constructive feedback. Document technical specifications and processes clearly for team reference. Stay updated with industry trends and emerging technologies in big data. Collaborate with cross-functional teams to deliver data solutions. Support the data governance initiatives to ensure compliance. Provide training and mentorship to junior data engineers. Qualifications Bachelor's degree in Computer Science, Information Technology, or related field. Proven experience as a Data Engineer, preferably with PySpark. Strong understanding of data warehousing concepts and architecture. Hands-on experience with ETL tools and frameworks. Proficiency in SQL and NoSQL databases. Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Experience with Python programming for data manipulation. Knowledge of data modeling techniques and best practices. Ability to work in a fast-paced environment and juggle multiple tasks. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Experience in Agile methodologies and practices. Knowledge of data governance and compliance standards. Familiarity with BI tools such as Tableau or Power BI is a plus. Skills: data modeling,python programming,pyspark,bi tools,sql proficiency,sql,cloud technologies,nosql databases,etl processes,data warehousing,agile methodologies,cloud computing,data engineer Show more Show less

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