statistical data analysis , Databricks, Spring Boot, Emr, Java, AWS Glue, Data Warehousing, Hadoop, Pyspark, Kafka, Python, Kubernetes, AWS EKS, Flask, Spark, ETL data pipelines, Flink, Data lakes, Data frameworks, Data engineering concepts, Real-time data processing, NoSQL databases

Gcp, Pyspark, Scala, Data Warehousing, Azure, Python, Sql, AWS, ETL frameworks

Hive, Hadoop, Pyspark, Apache Spark, Python Programming, Sql, ETL pipeline development and optimization, Big Data processing

Unit Testing, Hadoop, Pyspark, Apache Spark, User Acceptance Testing, Hive, System Testing, Shell scripting, Python Programming, Data historical load and overall Framework concepts, AWS ecosystem, Spark related performance tuning, Git repository, CDC operations, UNIX operating system concepts, Google Cloud BigQuery, Jenkins or equivalent CICD tool, Agile delivery model, Cloudera Hortonworks Data Platform, AWS S3 Filesystem operations

Unit Testing, Hive, Hadoop, Gcp, Scala, Apache Spark, Elastic Search, RESTful API development, Agile software development methodologies, CICD practices, HDFS

Git, Sql, AWS, Gitlab, Bitbucket, Python, Jenkins, Pyspark, CodePipeline, Palantir, CodeBuild

Java, Agile Methodologies, Kafka, Sql, Software Development Life Cycle, Spark, Python, AWS, Application Resiliency, Security, AI-assisted software development tools, Cloud native experience

Big Data, ELT, PySpark Developer

snowflake , Java, Spring Boot, Microservices, Jenkins, Terraform, Docker, Sonarqube, Apache Kafka, MongoDB, Rest Apis, Python, AWS, Amazon ECS, DocumentDB, EKS