As a Lead Data Engineer, you will be responsible for leveraging your 7 to 12+ years of hands-on experience in SQL database design, data architecture, ETL, Data Warehousing, Data Mart, Data Lake, Big Data, Cloud (AWS), and Data Governance domains. Your expertise in a modern programming language such as Scala, Python, or Java, with a preference for Spark/ Pyspark, will be crucial in this role. Your role will require you to have experience with configuration management and version control apps like Git, along with familiarity working within a CI/CD framework. If you have experience in building frameworks, it will be considered a significant advantage. A minimum of 8 years of recent hands-on SQL programming experience in a Big Data environment is necessary, with a preference for experience in Hadoop/Hive. Proficiency in PostgreSQL, RDBMS, NoSQL, and columnar databases will be beneficial for this role. Your hands-on experience in AWS Cloud data engineering components, including API Gateway, Glue, IoT Core, EKS, ECS, S3, RDS, Redshift, and EMR, will play a vital role in developing and maintaining ETL applications and data pipelines using big data technologies. Experience with Apache Kafka, Spark, and Airflow is a must-have for this position. If you are excited about this opportunity and possess the required skills and experience, please share your CV with us at omkar@hrworksindia.com. We look forward to potentially welcoming you to our team. Regards, Omkar,