Foundation AI

2 weeks ago

Hyderabad, India Foundation AI Full time

Designation : Lead Data Engineer (Individual Contributor)

Reporting to : Sr Tech Lead

Key Responsibilities :

- Architect and Design Data Systems : Design and develop scalable data pipelines and systems to manage large volumes of structured and unstructured data.

- Data Pipeline Development : Develop scalable end-to-end ETL (Extract, Transform, Load) data pipelines to ingest data from various diverse sources, perform transformations, and load data into target systems to meet both functional and non-functional requirements.

- Data Modeling and Optimization : Develop and optimize data models (including relational Data) for efficient storage and retrieval, ensuring data quality and integrity.

- Technical Oversight : Manage technical scope, ensuring alignment with business objectives and delivering high-quality solutions. Provided required technical guidance and oversight to various cross-functional teams and team members on databases like PostgreSQL/ Vector DB and various queries, functions, and datasets.

- Configuration Management : Manage the configurations for various tools and databases like postgresDB, vectorDB, etc. for both on-premises and cloud platforms for optimized performance and redundancy

- Performance Tuning : Monitor and optimize data pipelines, SQL/queries, functions, procedures, and triggers for performance and scalability.

- Stakeholder Collaboration : Work closely with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver solutions ensuring alignment with organizational goals.

- Promoting Best Practices : Define and promote reusable, scalable, and maintainable solutions, emphasizing software engineering best practices and continuous improvement.

- Communication : Communicate effectively at all levels about the importance of solution design, conducting technical walk-throughs to ensure a clear understanding of system architecture.

- Continuous Improvement : Work with data and analytics experts to enhance functionality in data systems and products, driving improvements and growth within the data team.

- Cloud Experience : Experience of working with AWS RDS databases is preferred

Required Experience, Skills & Qualifications :

- Experience : 5-7 years in High-Performance Data Products or Data Systems as a Data Architect/Engineer.

- Technical Skills : Proficiency in orchestration tools like Airflow. Proficiency in SQL and relational databases (e. g. , PostgreSQL, Aurora) andNoSQL databases (e. g. , MongoDB, Cassandra).

- Knowledge of Vector databases like pgvector etc.

- Hands-on experience with cloud platforms (e. g. , AWS, Azure, GCP) containerization technologies (e. g. , Docker, Kubernetes).

- Experience with agile development methodologies (e. g. , Scrum, Kanban).

- Software Engineering : Proficient in software engineering best practices, unit testing, integration testing, and tools like Git and Docker.

- Security and Compliance : Familiarity with security compliances and design practices.

- Communication : Exceptional interpersonal, analytical, and communication skills. Ability to explain and discuss concepts with colleagues and teams effectively.

- CI/CD Pipeline : Fully adhere to and promote an entire CI/CD pipeline.

- API Development : Familiarity with API development and data formats like JSON/XML.

(ref:hirist.tech)

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