Data Warehousing & Snowflake Architect - Python Programming (10-15 yrs)

Job Title : Data Warehousing & Snowflake Architect

Designation : OFFSHORE DATA BAU LEAD

Location : Hyderabad

Job Type : Full-Time

Experience : 10-15 yrs

Required Skills :

- Overall 10+ years' work experience

- At least 6+ years of strong data warehousing experience using RDBMS and Non-RDBMS databases

- Experience as a Lead 5+ years.

- Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.

- Strong AWS knowledge in terms of designing new architecture and providing optimized solution for existing one.

- In-depth knowledge with respect to Snowflake and its architecture.

- Provide solutions and drive the implementation of DOPS features which includes - building

IAC infra, Git Lab re-structuring, Git lab Upgrades monitoring etc.,

- Should have the vision on data strategy and able to deliver the same.

- Should be able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation.

- Able to manage and lead a team of data professionals, providing guidance, mentoring and foster a collaborative and innovative team culture focused on continuous improvement.

- At least 5 years of recent hands-on professional experience (actively coding) working as a data engineer (back-end software engineer considered).

- At least 4+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Lambda, Apache Airflows, Amazon Step Functions.

- Professional experience working in an agile, dynamic and customer facing environment is required.

- Understanding of distributed systems and cloud technologies (AWS) is highly preferred.

- Understanding of data streaming and scalable data processing is preferred to have.

- Experience with large scale datasets, data lake and data warehouse technologies such as AWS

Redshift, Google Big Query, Snowflake. Snowflake is highly preferred.

- Strong knowledge in scripting languages like Python, UNIX shell and Spark is required.

- Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.

- Technical expertise with data models, data mining and segmentation techniques.

- Experience with full SDLC lifecycle and Lean or Agile development methodologies.

- Knowledge of CI/CD and GIT Deployments.

- Ability to work in team in diverse/ multiple stakeholder environment.

- Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams.