Data Engineer

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: ₹500,858.86 - ₹1,500,000.00 per year

Work Location: Remote