AWS Data Engineer- Sagemaker

Primary skillsets : AWS Sagemaker, Power BI & Python

Secondary skillset : Any ETL Tool, Github, DevOPs(CI-CD)

Mandatory Skill Set :

Python, PySpark , SQL, AWS with Designing, developing, testing and supporting data pipelines and applications

Strong understanding and hands-on experience with AWS services like EC2, S3, EMR, Glue, Redshift

Strong in developing and maintaining applications using Python and PySpark for data manipulation, transformation, and analysis

Design and implement robust ETL pipelines using PySpark, focusing on performance, scalability, and data quality

Lead and manage projects, including planning, execution, testing, and documentation and handling customer interacation as key point of contact

Translate business requirements into technical solutions using AWS cloud services and Python / PySpark

Deep understanding of Python and its data science libraries, along with PySpark for distributed data processing

Proficiency in PL / SQL, T-SQL for data querying, manipulation, and database interactions

Excellent written and verbal communication skills to collaborate with team members and stakeholders

Experience leading and mentoring teams in a technical environment and providing proposals on solutioning and designed based approach

3+ 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 environment

Strong SQL and NoSQL databases like MySQL, Postgres, DynamoDB, Elasticsearch Workflow management tools like Airflow