
Data Engineer
2 weeks ago
Job Title: Data Engineer
Experience: 5 – 10 years
Work Mode: Hybrid / Remote
Job Description:
We are seeking a Data Engineer with strong expertise in PySpark, Scala, and Python. The ideal candidate must have hands-on experience in Apache Spark, as it will be the core technology for large-scale data processing and pipeline development.
Key Responsibilities:
- Design, develop, and optimize data pipelines using Apache Spark and related big data technologies.
- Work with large datasets to ensure high performance, scalability, and reliability.
- Collaborate with data scientists, analysts, and other stakeholders to deliver end-to-end data solutions.
- Implement data quality checks, performance tuning, and troubleshooting.
- Work in cloud environments such as GCP, AWS, or Azure (knowledge of at least one is an added advantage).
Required Skills:
- Mandatory: Strong hands-on experience with PySpark, Scala, Python, and Apache Spark.
- Strong understanding of distributed data processing and big data ecosystems.
- Experience with ETL processes and data warehousing concepts.
- Familiarity with cloud platforms such as GCP, AWS, or Azure (preferred).
- Excellent problem-solving and analytical skills.
Job Types: Full-time, Permanent
Pay: ₹500, ₹1,500,000.00 per year
Work Location: Remote
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