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PySpark AWS Data engineer

Aspyra

Job Description : - 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 pandas.- Excellent communication & presentation skills.- Experience in managing Python codes and collaborating with customer on model evolution.- Good knowledge of data base management and Hadoop/Spark, SQL, HIVE, Python (expertise).- Superior analytical and problem solving skills.- Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision.- Good communication skill for client interaction.Data Management Skillsets : - Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred.- Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures).- Strong ability to translate functional specifications / requirements to technical requirements.Required Skillset : - Demonstrated expertise in building distributed data processing systems using PySpark and Python, with a deep understanding of data modeling and schema design.- Proven ability to architect and deploy cloud-native data solutions within the AWS ecosystem, ensuring high availability and fault tolerance.- Strong analytical mindset with the ability to translate complex business requirements into technical specifications that drive tangible project outcomes.- Excellent communication skills, with the ability to articulate technical concepts to non-technical stakeholders and work effectively in a collaborative, hybrid-work environment.- A degree in Computer Science, Engineering, or a related quantitative field, combined with 3 to 7 years of professional experience in data engineering roles.- High degree of adaptability to work across time zones in a fast-paced, global MNC environment, with a commitment to continuous learning and technical excellence.Key Skills : - Pyspark, AWS, Data Ingestion, Data Transformation, Data Engineering, Bigquery, Hadoop, Big Data, Aws Glue, SQL, Data Integration, Hive, Data Migration, Data Pipeline, Big Data Technologies, Data Warehousing, Spark, Data Modeling, ETL, Python. (ref:hirist.tech)

Vacancy posted 24 days ago
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