<p><strong>What role you will play in team:</strong> You'll be part of a team building and maintaining data pipelines for large-scale data processing and analytics.</p><p><strong>What you will do:</strong>  Design, develop, and maintain data pipelines using various technologies to ingest, process, and store data efficiently and reliably.</p><p><strong>Key responsibility:</strong><ul><li>Design and implement data pipelines using technologies like Apache Spark, Hadoop, or Kafka.</li><li>Develop data warehousing solutions.</li><li>Write efficient and maintainable code.</li><li>Collaborate with data scientists and other stakeholders.</li><li>Monitor and optimize data pipeline performance.</li><li>Ensure data quality and integrity.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Computer Science or a related field.</li><li>2-4 years of experience in data engineering.</li><li>Proficiency in SQL and at least one big data technology (e.g., Spark, Hadoop).</li><li>Experience with cloud data warehousing services (e.g., Snowflake, BigQuery).</li><li>Strong analytical and problem-solving skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and comprehensive benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Collaborative and innovative work environment.</li><li>Health insurance.</li><li>Paid time off and holidays.</li></ul></p><p><strong>A Day in the Life:</strong> You'll start your day reviewing pipeline performance metrics, then work on developing new data pipelines, resolving any issues, and collaborating with the team.</p>