Data Engineering Lead - AWS/Python/Big Data

Job Description : - Should have 8 years of working experience. - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - Demonstrated leadership experience leading cross-functional teams in the design and implementation of complex data solutions. - Experience in a data engineering role with strong understanding of graph databases, streaming and batch analytics, cloud data platforms, data visualizations and big data processing. - Deep understanding of graph database concepts and technologies (e.g., Neo4j, Amazon Neptune). - Proficiency in streaming analytics frameworks such as Apache Kafka, Apache Flink, or AWS Kinesis, Google Pub/Sub. - Deep understanding of Data lake solutions and Data warehouse solutions like Google BigQuery, Amazon Redshift, etc. - Hands-on experience with cloud platforms and services (e.g., AWS) and big data technologies (e.g., Hadoop, Spark, HBase). - Strong programming skills in languages such as Python, Java, or Scala. - Strong analytical and problem-solving skills with a strategic mindset and a track record of driving business impact through data-driven solutions. - Stay abreast of emerging technologies, industry trends, and best practices in data engineering, and drive innovation through the adoption of new tools and techniques. - Outstanding communication and interpersonal skills with the ability to collaborate effectively across teams and departments. (ref:hirist.tech)

Location: India, IN

Posted Date: 4/24/2024