Qureos

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Big Data Engineer

India

Job Title: Big Data Engineer

Location: Bengaluru

Experience Required: 5 to 8 years

Job Description:

We are looking for a skilled Big Data Engineer with strong hands-on experience in PySpark and SQL. This is a hybrid role, requiring the candidate to work both remotely and from the office as needed. The ideal candidate should be comfortable working on large-scale data pipelines and big data processing frameworks.

Key Responsibilities:

  • Develop, optimize, and maintain scalable data pipelines using PySpark.
  • Write efficient and complex SQL queries for data transformation and extraction.
  • Work closely with data architects, analysts, and other stakeholders to deliver high-quality data solutions.
  • Handle structured and unstructured data from various sources.
  • Perform performance tuning and troubleshooting of big data jobs.

Required Skills & Experience:

  • Hands-on experience with PySpark for big data processing.
  • Strong expertise in SQL for data manipulation and analysis.
  • Good understanding of distributed data systems and big data architecture (e.g., Hadoop, Spark, Hive, etc.).
  • Ability to work independently in a hybrid setup.
  • Comfortable taking ownership as a Big Data Engineer.

Preferred Qualifications:

  • Experience with cloud platforms (AWS, Azure, or GCP) is a plus.
  • Familiarity with version control systems (e.g., Git).
  • Good communication and collaboration skills.

Job Type: Full-time

Pay: ₹120,000.00 per month

Experience:

  • Work: 5 years (Required)

Work Location: In person

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