REQUIREMENTS:
- Total experience 10years
- Experience in data engineering and database management.
- Expert knowledge in PostgreSQL (preferably cloudhosted on AWS Azure or GCP).
- Experience with Snowflake Data Warehouse and strong SQL programming skills.
- Deep understanding of stored procedures performance optimization and handling largescale data.
- Knowledge of ingestion techniques data cleaning deduplication and partitioning.
- Strong understanding of index design and performance tuning techniques.
- Familiarity with SQL security techniques including data encryption Transparent Data Encryption (TDE) signed stored procedures and user permission assignments.
- Competence in data preparation and ETL tools to build and maintain data pipelines and flows.
- Experience in data integration by mapping various source platforms into Entity Relationship Models (ERMs).
- Exposure to source control systems like Git Azure DevOps.
- Expertise in Python and Machine Learning (ML) model development.
- Experience in automated testing and test coverage tools.
- Handson experience in CI/CD automation tools
- Programming experience in Golang
- Understanding of Agile methodologies (Scrum Kanban).
- Ability to collaborate with stakeholders across Executive Product Data and Design teams.
RESPONSIBILITIES:
- Design and maintain an optimal data pipeline architecture.
- Assemble large complex data sets to meet functional and nonfunctional business requirements.
- Develop pipelines for data extraction transformation and loading (ETL) using SQL and cloud database technologies.
- Prepare and optimize ML models to improve business insights.
- Support stakeholders by resolving datarelated technical issues and enhancing data infrastructure.
- Ensure data security across multiple data centers and regions maintaining compliance with national and international data laws.
- Collaborate with data and analytics teams to enhance data systems functionality.
- Conduct exploratory data analysis to support database and dashboard development.
Qualifications :
Bachelors or masters degree in computer science Information Technology or a related field.
Remote Work :
No
Employment Type :
Fulltime