Data Engineer

2 weeks ago

Pune, India TechVerito Full time

About the Role


We are looking for a Data Engineer with strong experience in Spark (PySpark) , SQL , and data pipeline architecture . You will play a critical role in designing, building, and optimizing data workflows that enable scalable analytics and real-time insights. The ideal candidate is hands-on, detail-oriented, and passionate about crafting reliable data solutions, while collaborating with cross-functional teams.


Responsibilities

  • Design and architect scalable and efficient data pipelines for batch and real-time processing.
  • Develop and optimize solutions using Spark (PySpark) and SQL .
  • Ensure data pipelines are reliable, maintainable, and well-tested .
  • Work with stakeholders to understand business requirements and translate them into data-driven solutions .
  • Collaborate with cross-functional teams to ensure data quality, availability, and performance .
  • Stay updated with emerging data engineering tools and practices .


Must-Have Skills

  • Strong expertise in Spark (PySpark) .
  • Proficiency in SQL (query optimization, performance tuning, complex joins).
  • Hands-on experience in designing and architecting data pipelines .
  • Excellent communication and collaboration skills .


Good to Have

  • Experience with data streaming platforms (Kafka, Kinesis, etc.).
  • Proficiency in Python for data engineering tasks.
  • Exposure to Databricks and Azure cloud services.
  • Knowledge of HTAP systems, Debezium, 3PL/logistics domain (having most of this mentioned skills would be great)
  • Familiarity with orchestration frameworks such as Apache Airflow or Apache NiFi .

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