Senior Data Engineer (AWS EMR, Spark & Airflow)

Role: Mid-Level Data Engineer Position Type: Full-Time Contract (40hrs/week) Contract Duration: Long Term Work Schedule: 8 hours/day (Mon-Fri) Location: Hybrid (3x days onsite in Hyderabad, India) We are seeking a Senior Data Engineer with expertise in AWS, Spark, Python/Scala, and Apache Airflow to design, build, and maintain cloud-native Big Data platforms. The ideal candidate will have experience developing scalable data pipelines, optimizing AWS EMR workloads, and supporting production-grade data processing systems . Requiremen ts6+ years of Data Engineering experienceStrong experience with AWS EMR, Spark, Python and/or ScalaHands-on experience with Apache AirflowStrong SQL and Hive knowledgeExperience building enterprise-scale data pipelinesExperience with Git, Jenkins, and CI/CDStrong problem-solving and communication skil ls Role: Mid-Level Data Engineer Position Type: Full-Time Contract (40hrs/week) Contract Duration: Long Term Work Schedule: 8 hours/day (Mon-Fri) Location: Hybrid (3x days onsite in Hyderabad, India) We are seeking a Senior Data Engineer with expertise in AWS, Spark, Python/Scala, and Apache Airflow to design, build, and maintain cloud-native Big Data platforms. The ideal candidate will have experience developing scalable data pipelines, optimizing AWS EMR workloads, and supporting production-grade data processing systems . Requiremen ts6+ years of Data Engineering experienceStrong experience with AWS EMR, Spark, Python and/or ScalaHands-on experience with Apache AirflowStrong SQL and Hive knowledgeExperience building enterprise-scale data pipelinesExperience with Git, Jenkins, and CI/CDStrong problem-solving and communication skil ls