Data Modeller

2 weeks ago

Indore, India TEANSOFT Full time

Mandatory experience in Advance Data & Analytics Architecture, ETL,
Data Engineering solution using the following Skills, tools and technologies:
AWS Data & Analytics Services: Athena, Glue, DynamoDB, Redshift
Databricks Lakehouse Platform PySpark, Spark SQL, Experience with any NoSQL Database Expert-level skills in writing and optimizing SQL.
Experience operating very large data warehouses or data lakes/ data platform.
Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
Experience of working in Agile delivery Sound knowledge of distributed systems and data architecture (lambda)
- design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures
Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, and testing.
Excellent business and communication skills to work with business owners to understand data requirements 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.
- Databricks, 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.

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