Job
Description
As an AWS Data Engineer at YASH Technologies, you will play a crucial role in designing, developing, testing, and supporting data pipelines and applications using various AWS services. Your primary skillsets should include AWS services such as Glue, Pyspark, SQL, Databricks, and Python. Additionally, proficiency in ETL tools, Github, and DevOps (CI/CD) will be valuable secondary skillsets. Key Responsibilities: - Design, develop, test, and support data pipelines and applications using AWS services like Glue, Pyspark, SQL, Databricks, and Python. - Utilize your expertise in data integration and pipeline development, with a focus on AWS Cloud technologies. - Work with a mix of Apache Spark, Glue, Kafka, Kinesis, and Lambda in S3 Redshift, RDS, MongoDB/DynamoDB ecosystems. - Use SQL in the development of data warehouse projects/applications, particularly in Oracle & SQL Server environments. - Demonstrate strong real-life experience in Python development, especially in PySpark within the AWS Cloud environment. - Work with SQL and NoSQL databases like MySQL, Postgres, DynamoDB, and Elasticsearch. - Implement workflow management tools like Airflow. - Engage with various AWS cloud services such as RDS, AWS Lambda, AWS Glue, AWS Athena, and EMR. Qualifications Required: - Bachelor's degree in computer science, engineering, or related fields. - 3+ years of experience in data integration and pipeline development. - Proficiency in Python, PySpark, SQL, and AWS. - Familiarity with AWS Cloud technologies and services. - Experience with Databricks and Redshift is a major plus. - Knowledge of Snowflake and Palantir Foundry is considered a good-to-have. At YASH Technologies, you will have the opportunity to shape your career in an inclusive team environment. Our Hyperlearning workplace is built on flexibility, trust, collaboration, and support, providing a stable employment with a great atmosphere and an ethical corporate culture. Join us in bringing real positive changes in the virtual world and driving business transformation through cutting-edge technologies. As an AWS Data Engineer at YASH Technologies, you will play a crucial role in designing, developing, testing, and supporting data pipelines and applications using various AWS services. Your primary skillsets should include AWS services such as Glue, Pyspark, SQL, Databricks, and Python. Additionally, proficiency in ETL tools, Github, and DevOps (CI/CD) will be valuable secondary skillsets. Key Responsibilities: - Design, develop, test, and support data pipelines and applications using AWS services like Glue, Pyspark, SQL, Databricks, and Python. - Utilize your expertise in data integration and pipeline development, with a focus on AWS Cloud technologies. - Work with a mix of Apache Spark, Glue, Kafka, Kinesis, and Lambda in S3 Redshift, RDS, MongoDB/DynamoDB ecosystems. - Use SQL in the development of data warehouse projects/applications, particularly in Oracle & SQL Server environments. - Demonstrate strong real-life experience in Python development, especially in PySpark within the AWS Cloud environment. - Work with SQL and NoSQL databases like MySQL, Postgres, DynamoDB, and Elasticsearch. - Implement workflow management tools like Airflow. - Engage with various AWS cloud services such as RDS, AWS Lambda, AWS Glue, AWS Athena, and EMR. Qualifications Required: - Bachelor's degree in computer science, engineering, or related fields. - 3+ years of experience in data integration and pipeline development. - Proficiency in Python, PySpark, SQL, and AWS. - Familiarity with AWS Cloud technologies and services. - Experience with Databricks and Redshift is a major plus. - Knowledge of Snowflake and Palantir Foundry is considered a good-to-have. At YASH Technologies, you will have the opportunity to shape your career in an inclusive team environment. Our Hyperlearning workplace is built on flexibility, trust, collaboration, and support, providing a stable employment with a great atmosphere and an ethical corporate culture. Join us in bringing real positive changes in the virtual world and driving business transformation through cutting-edge technologies.
