Lead Data Engineer

6 days ago

Hyderabad, Telangana, India Foundation AI Full time

Designation Lead Data Engineer Individual Contributor Location HyderabadWork Mode OfficeReporting to Sr Tech LeadAbout US Foundation AI automatically ingests incoming documents emails and attachments from across your firm It profiles matches classifies and saves each to your DMS and then automates document-dependent workflows according to your rules Read more about us atJob Overview We are seeking a highly skilled Senior Data Engineer with 5-7 years of experience in designing and developing scalable data systems The ideal candidate will have a strong technical background be proficient in both relational and NoSQL databases and have hands-on experience with cloud platforms This role demands expertise in building robust data pipelines optimizing data models and ensuring data quality and integrity 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 Skills and Tools 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 and NoSQL databases e g MongoDB Cassandra Good knowledge of Vector databases like pgvector etc Hands-on experience with cloud platforms e g AWS Azure GCP and 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 Domain Experience Experience in the Insurance Legal domain is a plus Regulatory Knowledge Familiarity with security and privacy regulations such as GDPR and HIPAA Collaboration Proven ability to collaborate effectively with cross-functional teams in a fast-paced environment Problem Solving Demonstrated ability to conduct root cause analyses and drive continuous improvement initiatives Certifications AWS Certified Data Engineer Cloudera certified professional Data Engineer Data Bricks certified professional Data Engineer Education A Bachelor s or Master s degree in Computer Science Data Science or a related fieldOur Commitment At Foundation AI we re committed to creating an inclusive and diverse workplace We value equal opportunity and affirmative action principles giving everyone an equal chance to succeed We re dedicated to offering equal employment opportunities regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or veteran status Upholding these values and adhering to applicable laws is paramount to us For any feedback or inquiries please contact us atPowered by JazzHR Foundation AI

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