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Urgent! TechVerito - Data Engineer - Python/Spark Job Opening In Pune – Now Hiring TechVerito Software Solutions LLP

TechVerito Data Engineer Python/Spark



Job description

<p><p><b>About the Role :</b></p><p><p><b><br/></b></p>We are looking for a Data Engineer with strong experience in Spark (PySpark), SQL, and data pipeline architecture.</p><p><br/>You will play a critical role in designing, building, and optimizing data workflows that enable scalable analytics and real-time insights.</p><p><br/>The ideal candidate is hands-on, detail-oriented, and passionate about crafting reliable data solutions, while collaborating with cross-functional teams.<br/><br/><b>Responsibilities :</b></p><p><p><b><br/></b></p>- Design and architect scalable and efficient data pipelines for batch and real-time processing.<br/><br/></p><p>- Develop and optimize solutions using Spark (PySpark) and SQL.<br/><br/></p><p>- Ensure data pipelines are reliable, maintainable, and well-tested.<br/><br/></p><p>- Work with stakeholders to understand business requirements and translate them into data-driven solutions.<br/><br/></p><p>- Collaborate with cross-functional teams to ensure data quality, availability, and performance.<br/><br/></p><p>- Stay updated with emerging data engineering tools and practices.<br/><br/><b>Must-Have Skills :</b></p><p><p><br/></p>- Strong expertise in Spark (PySpark).<br/><br/></p><p>- Proficiency in SQL (query optimization, performance tuning, complex joins).<br/><br/></p><p>- Hands-on experience in designing and architecting data pipelines.<br/><br/></p><p>- Excellent communication and collaboration skills.<br/><br/><b>Good to Have : </b></p><p><br/></p><p>- Experience with data streaming platforms (Kafka, Kinesis, etc.<br/><br/></p><p>- Proficiency in Python for data engineering tasks.<br/><br/></p><p>- Exposure to Databricks and Azure cloud services.<br/><br/></p><p>- Knowledge of HTAP systems, Debezium, 3PL/logistics domain(having most of this mentioned skills would be great).<br/><br/></p><p>- Familiarity with orchestration frameworks such as Apache Airflow or Apache NiFi.</p><br/></p> (ref:hirist.tech)


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