Data Engineer - Python/Pandas

<p><p><b>Data Engineer</b><br/><br/>Experience Level : 3 to 8 Years<br/><br/>Location : :</b></p><p><br/>- Proven experience as a Data Engineer or in a similar role.<br/></p><p><br/></p><p>- Strong proficiency in Python and its data-related libraries (e.g., Pandas, PySpark).<br/></p><p><br/></p><p>- Hands-on experience with ETL concepts and tools.<br/></p><p><br/></p><p>- Demonstrable experience with Apache Spark for distributed data processing.<br/></p><p><br/></p><p>- In-depth knowledge of workflow management and orchestration using Apache Airflow.<br/></p><p><br/></p><p>- Experience with graph databases, specifically Neo4j, including data modeling and Cypher query language.<br/></p><p><br/></p><p>- Solid understanding of SQL and NoSQL databases.<br/></p><p><br/></p><p>- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their data services.<br/></p><p><br/></p><p>- Excellent problem-solving and analytical skills.<br/></p><p><br/></p><p>- Strong communication and collaboration abilities.<br/></p><p><br/></p><p>- Bachelor's degree in Computer Science, Engineering, or a related field.</p><br/></p> (ref:hirist.tech)