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Data Engineer
TechVeritomumbai city, maharashtra, in1 day ago
Job descriptionStrong 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 . 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 .
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
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Data Engineer • mumbai city, maharashtra, in
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