Data Engineer

Decklar Corporation; Ahmedabad District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Decklar Corporation in Ahmedabad, Gujarat, is seeking a Data Engineer to join the Data & Analytics team. You will build scalable ETL/ELT pipelines from MySQL, Postgres and flat files to sinks like Snowflake and S3, with Graph DBs like Neo4j. Iceberg knowledge is a plus.

Responsibilities include creating pipelines with pandas, Flink, Spark in Java or Python, transforming data for SQL/Graph storage, and deriving actionable insights with dashboards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Sciences, or related fields.
• 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 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

Responsibilities

• Build sophisticated ETL/ELT data pipelines using pandas, Flink, Spark or equivalent in Java or Python.
• Transform and sink data to SQL, Graph DBs and Object Storage systems like HDFS or S3.
• Create insights from models and present them using graphs, visuals and dashboards.

Skills

SQL Skills

LLMs

Cloud Architecture

Communication

Data Engineering

Education

Bachelors or Masters in CS/DS

Tools

MySQL

PostgreSQL

Snowflake

S3

Neo4j

Flink

Spark

Job description

• Qualifications Bachelors Degree in Engineering
• Job Type Full time
• Country India

About Us

Decklar Corporation

Decklar is transforming global supply chains with AI-powered decision intelligence and sensorless visibility. Over 300+ enterprises worldwide trust us to make their supply chains predictive, agile, and resilient.

Our culture is built on responsible rebellion—challenging conventions, embracing diversity, and empowering bold thinkers to solve high-stakes problems. At Decklar, you’ll collaborate across geographies, grow without limits, and help shape the future of supply chain intelligence.

We’re backed by leading global investors and headquartered in Silicon Valley, with offices worldwide.

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.
  

Requirements

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