PartnerFirms Hiring Drive 2024 For Data Engineer | Work From Home

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PartnerFirms Hiring Drive 2024: PartnerFirms Hiring Drive 2024 for its Data Engineer. PartnerFirms Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. if you are interested, please apply as soon as possible.

Company Name: PartnerFirms

Role: Data Engineer

Location: Remote

Experience: Freshers

Qualification: Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

Batch: Any

Job Type: Full Time

Salary: Best in Industry

PartnerFirms Hiring Drive 2024

Job Description:

  • Basic understanding of data structures, algorithms, and database management systems.
  • Understanding of cloud platforms such as AWS, Azure, or Google Cloud.
  • Internship or project experience in data engineering or a related field.

Requirements:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
  • Familiarity with SQL and experience with relational databases (e.g., MySQL, PostgreSQL, SQL Server).
  • Exposure to programming languages such as Python, Java, or Scala.
  • Knowledge of ETL tools and processes.
  • Strong problem-solving skills and attention to detail.
  • Ability to work collaboratively in a team environment.
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka.
  • Knowledge of data governance and data quality best practices.
  • Experience with data visualization tools such as Tableau or Power BI.

Responsibility:

  • Assist in the design, development, and maintenance of data pipelines and ETL processes.
  • Work with data warehousing solutions to support data analytics and reporting needs.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
  • Help in the development and optimization of SQL queries for data extraction and transformation.
  • Ensure data integrity and consistency across various data sources and systems.
  • Participate in troubleshooting and resolving data-related issues.
  • Maintain comprehensive documentation of data processes, pipelines, and systems.
  • Stay updated with emerging technologies and best practices in data engineering.

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