[Hiring] Data Mesh @eComSolutions

Role Description

Articulating the end-to-end data mesh vision aligned to the broader organization strategy and objectives.

• Providing innovative and practical data mesh architecture that is in line with the business objectives.
• Working across multiple data architecture projects with varied stakeholders, providing technical leadership and advisory services to the business by anticipating needs and potential objections.
• Leading in the creation, maintenance and monitoring of on-premise or cloud infrastructure, such as the design of end-to-end data platforms, development and operations of cloud management and design of distributed systems, handling structured and unstructured data.
• Driving adherence to data management standards to promote optimization and consistency.
• Design, build and operationalize large scale enterprise data solutions and applications using one or more following AWS (Amazon web services) data and analytics services:
• Analyze, re-architect and re-platform on-premise data warehouses to data platforms on AWS cloud.
• Design and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala.
• Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming.
• Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud.
• Has working experience in AWS Athena and Glue Pyspark, EMR, DynamoDB, Redshift, Kinesis, Lambda, Snowflake.

Qualifications

• Experience with data mesh architecture.
• Proficiency in AWS data and analytics services.
• Strong programming skills in Java, Python, Scala.
• Experience with data management standards.

Requirements

• Ability to work with varied stakeholders.
• Experience in leading technical projects.
• Strong analytical and problem-solving skills.

Benefits

• Flexible working hours.
• Remote work opportunities.
• Professional development programs.