Data Engineer

Data Engineer Location: Remote, India Experience: 6-8 Years Algoworks www.algoworks.com About the company Algoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. We bring together a global team of engineers, architects, designers, researchers and operators united by rigor, accountability and a commitment to delivering measurable results. For over 20 years, Algoworks has partnered with Fortune 500 organizations across the Americas, Europe and Asia to define, build and run technology that drives meaningful business outcomes. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement. At Algoworks, growth is continuous and closely tied to impact. Teams collaborate across geographies and disciplines, strengthening outcomes through shared insight and collective expertise. The culture values transparency, open dialogue and an environment where every voice is heard and contribution is recognized. Through collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but strong global teams that elevate performance and create lasting impact. Follow the video below to know about us! Clipchamp Role overview We are seeking a Data Engineer to design, build and maintain scalable data pipelines, models and integration workflows across modern data platforms. You will work with Snowflake, Dagster, dbt, Python, PySpark, GraphQL and SQL to support reliable analytics and operational reporting. Key responsibilities: • Data Engineering - Build and maintain data pipelines, transformations and orchestration workflows. - Develop data models and reusable patterns using Snowflake, dbt, Python, PySpark and SQL. - Support ingestion, transformation, validation and publishing of data assets. • Data Quality & Performance - Implement data quality checks, reconciliation logic and monitoring mechanisms. - Optimize queries, jobs and pipeline performance for scale and reliability. - Troubleshoot data issues across source, transformation and consumption layers. • Collaboration - Partner with application, reporting and business teams to translate requirements into data solutions. - Contribute to engineering standards, documentation, code reviews and release readiness. Required skills and competencies: • 6+ years of data engineering experience with modern data platforms. • Strong hands-on experience with Snowflake, SQL, Python and data pipeline development. • Experience with dbt, Dagster, PySpark or equivalent orchestration and transformation tools. • Good understanding of data modeling, ELT/ETL patterns and data quality controls. • Ability to work in Agile teams with strong ownership and communication. Must have skills: • Snowflake, SQL and Python data engineering experience. • Hands-on pipeline development using dbt, Dagster or PySpark. • Strong data modeling and data quality mindset. • Comfortable working in a Git / CI-CD-driven workflow. Good to have skills: • Exposure to GraphQL or API-driven data access patterns. • Experience with analytics engineering, semantic layers or reporting platforms. • Working knowledge of CI/CD and automated validation for data pipelines. • Experience supporting enterprise-scale data modernization programs. Desired attributes: • Strong ownership mindset and engineering discipline. • High attention to detail with strong analytical and problem-solving skills. • Effective communicator who collaborates well across distributed, cross-functional teams. • Comfortable working in a fast-paced environment with evolving priorities. • Passion for continuous improvement, clean code and delivery excellence. Interview process 2-3 round of discussion