I2B Technologies – Data Engineer

Job Description

About the Role :

You will be part of the core engineering team building a next-gen Intelligence & Optimization platform. This role involves architecting scalable data pipelines, designing database schemas/models, enabling analytics, and ensuring data availability and reliability across our ecosystem. You will work closely with product, backend teams to deliver high-impact data solutions.

Key Responsibilities :

Data Architecture & Modelling :

– Design and maintain scalable database schemas and data models optimized for high-volume supply chain data.

– Evaluate and recommend database technologies (SQL, NoSQL, distributed storage) based on workload patterns.

– Drive ingestion, transformation, and storage strategy for real-time and batch data flows.

Data Engineering & Pipelines :

– Experience in performing complex queries in SQL ( RDBMS )

– Build and maintain ETL/ELT pipelines for structured and semi-structured data.

– Develop automation scripts for data workflows, backups, and disaster recovery.

– Work on large-scale distributed systems involving Spark and Kafka.

Analytics Enablement :

– Experience in reporting, dashboards, and insights.

– Optimize queries for performance and accuracy across multi-source datasets.

– Database Ownership (DBA responsibilities)

– Ensure availability, replication, backup, and DR setups.

– Performance tuning, index & partition management, schema evolution.

Tech Stack :

– Databases / Data Warehouse / Data Lake : Postgres, MySQL, Snowflake, AWS Redshift, Cassandra and other NoSQL stores.

– Big Data / Streaming : Apache Spark, Kafka.

– Scripting / Automation : Airflow, Python, Shell Scripts, DataBricks

– Cloud : AWS (S3, Athena, Glue, etc. is a plus).

What You’ll Work On :

– Build real-time data streams from various supply chain systems.

– Enable predictive analytics by ensuring clean and reliable data pipelines.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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