PySpark AWS Data engineer

As an experienced candidate with 3 to 8 years of experience, you will be responsible for the following key responsibilities and skillsets: - 3 years of experience in analytics, Pyspark, Python, Spark, SQL, and associated data engineering jobs. - Must have experience with managing and transforming big data sets using Pyspark, Spark-Scala, Numpy, and Pandas. - Excellent communication & presentation skills. - Experience in managing Python codes and collaborating with customers on model evolution. - Good knowledge of database management and Hadoop/Spark, SQL, HIVE, Python (expertise). You should possess superior analytical and problem-solving skills. It is expected that you can work on a problem independently and prepare client-ready deliverables with minimal or no supervision. Positive communication skills are essential for client interaction. In terms of data management skillsets, you should have the ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred. Additionally, a strong grasp of advanced SQL functionalities (joins, nested query, and procedures) is required. You should also have a strong ability to translate functional specifications/requirements to technical requirements. As an experienced candidate with 3 to 8 years of experience, you will be responsible for the following key responsibilities and skillsets: - 3 years of experience in analytics, Pyspark, Python, Spark, SQL, and associated data engineering jobs. - Must have experience with managing and transforming big data sets using Pyspark, Spark-Scala, Numpy, and Pandas. - Excellent communication & presentation skills. - Experience in managing Python codes and collaborating with customers on model evolution. - Good knowledge of database management and Hadoop/Spark, SQL, HIVE, Python (expertise). You should possess superior analytical and problem-solving skills. It is expected that you can work on a problem independently and prepare client-ready deliverables with minimal or no supervision. Positive communication skills are essential for client interaction. In terms of data management skillsets, you should have the ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred. Additionally, a strong grasp of advanced SQL functionalities (joins, nested query, and procedures) is required. You should also have a strong ability to translate functional specifications/requirements to technical requirements.