YASH Technologies | Technical Lead

2 weeks ago

indore, India YASH Technologies Full time

Experience : 7-12 years

Desirable Skills :

• AWS Data & Analytics Specialty Certification

• AWS Solution Architect Associate Certification

• Databricks Certification

Primary Skills :

• Masters / Bachelors Degree in Computer Science, Information Technology or other relevant fields.

• Minimum 7+ Years of Mandatory experience in Advance Data & Analytics Architecture, ETL, Data Engineering solutions using the following Skills, tools and technologies:

• AWS Data & Analytics Services: Athena, Glue, EMR, DynamoDB, Redshift, Kinesis, Lambda

• Databricks Lakehouse Platform

• PySpark, Spark SQL, Spark Streaming

• Experience with Apache Kafka / Nifi for use with streaming data / event-based data

• Experience with any NoSQL Database

• 3+ year of coding experience with modern programming or scripting language (Python).

• 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.


Responsibilities :

• 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, EMR, 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.

Key Scanners : ETL,AWS,Data Bricks,AWS Glue,Amazon Redshift,AWS PaaS

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