Data Engineer

We are looking for a skilled and passionate Data Engineer to join our growing team. The ideal candidate should have strong experience in building scalable data pipelines and working with large datasets using modern cloud and big data technologies. Candidates from product-based companies will be highly preferred.
Responsibilities:
Design, build, and maintain scalable data pipelines and ETL processes.
Work with large-scale distributed systems using PySpark and Hive.
Develop and optimise data workflows for performance and reliability.
Implement real-time and batch data processing using streaming technologies.
Collaborate with cross-functional teams, including Data Science and Analytics.
Ensure data quality, integrity, and governance across platforms.
Deploy and manage data solutions on cloud platforms (AWS/GCP).
Requirements:
Strong programming experience in Python.
Hands-on experience with PySpark and Hive.
Expertise in data streaming frameworks (e. g., Kafka, Spark Streaming, etc. )
Strong experience with AWS (must-have) OR GCP (plus point).
Solid understanding of data structures, algorithms, and distributed computing.
Experience in building and optimising ETL/data pipelines.
Preferred Qualifications:
Candidates from product-based companies.
Experience with data warehousing and big data ecosystems.
Familiarity with orchestration tools like Airflow.
Strong problem-solving and analytical skills.
Eligibility Criteria:
Experience: 5-9 years.
Education: B. Tech / M. Tech / MCA or equivalent.
Immediate joiners or candidates currently serving notice period.

Experience
5-9 yrs