AWS Data Engineer- Sagemaker

4 weeks ago

Bengaluru, India YASH Technologies Full time

Primary skillsets : AWS services including Glue, Pyspark, SQL, Databricks, PythonSecondary skillset : Any ETL Tool, Github, DevOPs(CI-CD)Mandatory Skill Set:Python, PySpark , SQL, AWS with Designing, developing, testing and supporting data pipelines and applicationsStrong understanding and hands-on experience with AWS services like EC2, S3, EMR, Glue, RedshiftStrong in developing and maintaining applications using Python and PySpark for data manipulation, transformation, and analysisDesign and implement robust ETL pipelines using PySpark, focusing on performance, scalability, and data qualityLead and manage projects, including planning, execution, testing, and documentation and handling customer interacation as key point of contactTranslate business requirements into technical solutions using AWS cloud services and Python/PySparkDeep understanding of Python and its data science libraries, along with PySpark for distributed data processingProficiency in PL/SQL, T-SQL for data querying, manipulation, and database interactionsExcellent written and verbal communication skills to collaborate with team members and stakeholdersExperience leading and mentoring teams in a technical environment and providing proposals on solutioning and designed based approach5+ years working experience in data integration and pipeline development.5+ years of Experience with AWS Cloud on data integration with a mix of Apache Spark, Glue, Kafka, Kinesis, and Lambda in S3 Redshift, RDS, MongoDB/DynamoDB ecosystems Databricks, Redshift experience is a major plus3+ years of experience using SQL in related development of data warehouse projects/applications (Oracle & amp; SQL Server)Strong real-life experience in python development especially in PySpark in AWS Cloud environmentStrong SQL and NoSQL databases like MySQL, Postgres, DynamoDB, Elasticsearch Workflow management tools like AirflowGood to Have : Snowflake, Palantir Foundry

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