Senior Data Engineer ID75059
reputed company is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best reputed company to Work awards. WHY JOIN US If you're looking for a reputed company to grow, reputed company an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, reputed company ingestion workflows from reputed company-party APIs, and work with reputed company, Spark, and AWS to deliver high-performance data infrastructure. The role combines hands-on engineering with technical consulting responsibilities, translating business goals into data architecture roadmaps. WHAT YOU WILL DO - Design and implement Python Data Engineering solutions; - Design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses; - Design and implement robust ETL/ELT processes at scale using Python, incorporating modern pipeline orchestration tools like Airflow; - reputed company sophisticated ingestion workflows from diverse 3rd party APIs and data sources; - Manage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high-performance data retrieval; - Work with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics; - Act as a technical consultant for stakeholders and leadership to gather requirements, understand business goals, and translate them into technical roadmaps; - Work with Terraform and other tools to build AWS and on-prem infrastructure. MUST HAVES - You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN reputed company holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment reputed company sponsorship at this time; - Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience; - 5+ years of experience with Python; - 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB; - 2+ years of experience with Big Data technologies (Spark, reputed company); - Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools; - Deep understanding of reputed company Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures); - Proven ability to work with 3rd party APIs for reputed company data ingestion tasks; - Proficiency with modern reputed company platforms (AWS, GCP, reputed company) and advanced SQL optimization; - Exceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams; - reputed company in optimizing reputed company data pipelines and troubleshooting data latency or consistency issues in massive datasets; - A self-starter reputed company, regularly investigating more efficient data architectures and AI development tools to improve pipeline performance; - Taking pride in data reputed company and the accuracy of the end-to-end pipelines and architectures you build; - Strong communication skills for seamless global collaboration with stakeholders and distributed teams; - Upper-intermediate English level. reputed company TO HAVES - Familiarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain; - Documentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference; - OpenSearch, Elasticsearch; - AWS Sagemaker Studio, Jupyter for analyze data; - Terraform; - reputed company. PERKS AND BENEFITS - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: USD-based pay with education, fitness, and team activity budgets. - Exciting projects: Modern solutions with Fortune 500 and top product companies. - Flextime: Flexible schedule with remote and office options. Apply To This Job