Sr. Software Engineer - AWS Job

2 - 4 Years

You will be responsible to understand the client requirement and architect robust data platform on AWS cloud technologies and Databricks.
You will be responsible for identifying and creating reusable data solutions (accelerators, MVP)
You will be responsible for creating reusable components for rapid development of data platform
Work closely with the Product Owners and stake holders to design the Technical Architecture for data platform to meet the requirements of the proposed solution.
Work with the leadership to set the standards for software engineering practices within the Data engineering team and support across other disciplines
Play an active role in leading team meetings and workshops with clients.
Delivering and presenting proofs of concept to of key technology components to project stakeholders.
Educate clients on Cloud technologies and influence direction of the solution.
Choose and use the right analytical libraries, programming languages, and frameworks for each task.
Help us to shape the next generation of our products.
Explore and learn the latest AWS Data Analytics and Databricks Platform features /technologies to provide new capabilities and increase efficiency.
Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties - Databricks, Spark, DynamoDB, RedShift, Kinesis, Lambda, Glue, Athena.
Analyze, re-architect and re-platform, migrate on-premise data warehouses to data platforms on AWS cloud using AWS or 3rd party services.
Design and build production data pipelines from ingestion to consumption within a big data architecture, using Python, PySpark, Databricks.
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 Databricks.
Build and deliver high quality data architecture to support business analyst, data scientists, and customer reporting needs.

Accountability : Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.

Collaboration: Participates in team activities and reaches out to others in team to achieve common goals.

Agility: Demonstrates a willingness to accept and embrace differing ideas or perceptions which are beneficial to the organization.

Customer Focus: Displays awareness of customers stated needs and gives priority to meeting and exceeding customer expectations at or above expected quality within stipulated time.

Communication: Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

Drives Results: Sets realistic stretch goals for self others to achieve and exceed defined goals/targets