Data Engineer

Job Title: Data Engineer Location : Ahmedabad / Applicants should live or be prepared to relocate to Ahmedabad, Gujarat Company : Decklar Workplace type : Onsite About Decklar Decklar is the world's only real-time Decision AI platform for supply chains, fusing unified visibility with artificial intelligence to enable instant, context-driven decisions at scale. Formerly Roambee, we pioneered supply chain visibility over a decade ago and now lead the evolution to a System of Action — bridging the gap between planning, TMS, and execution with autonomous intelligence. Our AI-native platform processes millions of shipment signals daily, powering dynamic replenishment, goods receipt, quality release, security, asset management, and more for Global 2000 enterprises in pharma, CPG, chemicals, electronics, automotive, and logistics.

Headquartered in Santa Clara, CA, with global operations, Decklar is backed by strategic investors and driving rapid growth through innovations. Job Description The Data & Analytics team is looking for an early talent / professional with experience in data engineering and, preferably, machine learning. The Data Engineer will create and deploy scalable and distributed ETL/ELT data pipelines using data sources like MySQL, Postgres, flat files and data sinks like Snowflake, S3 and Graph databases like Neo4J.

Knowledge and experience in open table formats like Iceberg is a big plus. Build sophisticated ETL/ELT data engineering pipelines using pandas, Flink, Spark or equivalent parallel computing frameworks in Java or Python. Clear understanding of parallel processing and ability to transform and sink data to SQL, Graph DBs and Object Storage systems like HDFS or S3.

Create useful and practical insights from existing and new models and present them using relevant graphs, visuals and dashboards. Qualifications Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Sciences, or related fields. Professional Background 3–5+ years in technology roles, with experience in data engineering and strong SQL Skills.

Knowledge of LLMs and ability to use LLM-driven IDEs like Cursor and Claude to speed up delivery Experience in working with Cloud-based architectures like AWS, Azure or GCP. Ability to work in fast-moving cross-matrix environments with little guidance Strong communication and critical thinking skills