Data Engineer

ServCrust; Hyderabad; Hybrid; INR 1,500,000 - 2,000,000; Full time

Benefits offered by this job

Growth opportunities into Data Platform Lead roles

Work on real-world logistics and finance data

Job summary

A growing D2C SaaS platform in Hyderabad is seeking an experienced Data Engineer to build and scale data pipelines essential for powering dashboards, AI models, and decision systems. Collaborate with Data Science, Product, and Engineering teams to ensure data remains reliable and actionable. The ideal candidate has 5+ years of experience in data engineering, strong expertise in SQL and Python, and hands-on experience with Kafka and AWS. This full-time role offers growth opportunities in a fast-paced environment.

Qualifications

• 5+ years of experience in data engineering & pipeline development.
• Strong expertise in SQL and Python.
• Hands-on experience with Kafka and AWS tools.

Responsibilities

• Build and maintain data pipelines for logistics and operational intelligence.
• Design and optimize data models and dashboards.
• Integrate data into unified data warehouses.
• Ensure data security, governance, and observability.

Skills

SQL (PostgreSQL)

Python (Pandas / PySpark)

Kafka

AWS (Glue, S3, RDS, Athena, Lambda)

ETL orchestration tools (Airflow / Step Functions)

Education

Bachelor’s/Master’s in CS, Data Engineering, or related field

Tools

Docker

GitHub CI/CD

BI tools (QuickSight, Metabase, Power BI)

Job description

About ServCrust

ServCrust is a fast-growing D2C SaaS platform reshaping the construction materials and logistics ecosystem using AI‑led supply chain intelligence, geo‑analytics, and credit‑risk insights. We process real‑time order, logistics, and IoT data across multiple states to deliver insights on pricing, supplier performance, delivery optimization, and more.

Experience

5+ Years

Location

Hyderabad / Hybrid

Employment Type

Full‑time

Role Overview

We’re looking for an experienced Data Engineer to build and scale our end‑to‑end data pipelines that power dashboards, AI models, and decision systems across our microservices‑driven architecture. You’ll collaborate closely with Data Science, Product, and Engineering teams to ensure our logistics, geo‑commerce, and operations data remains clean, reliable, and highly actionable.

What You’ll Do

• Build and maintain data pipelines for logistics, pricing, and operational intelligence using Kafka streaming and structured ETL workflows.
• Design and optimize data models supporting dashboards, forecasting engines, and AI/ML use cases.
• Integrate data from PostgreSQL, IoT devices, microservices, and external APIs into unified data warehouses.
• Implement data quality checks, schema evolution, and lineage tracking for reliable analytics.
• Work with backend teams to embed data services into Spring Boot microservices using AWS‑native tools.
• Manage AWS data infrastructure: RDS, Glue, S3, Athena, Redshift, QuickSight.
• Contribute to real‑time dashboards for delivery tracking, credit monitoring, and supplier insights.
• Ensure data security, governance, and observability aligned with ISO 27001 & SOC 2 practices.
• Support data architecture planning for scaling AI‑enabled OMS and credit systems.

What We’re Looking For

• Bachelor’s/Master’s in CS, Data Engineering, or related field.
• 5+ years of experience in data engineering & pipeline development.
• Strong expertise in SQL (PostgreSQL) and Python (Pandas / PySpark).
• Hands‑on experience with Kafka, AWS (Glue, S3, RDS, Athena, Lambda), and ETL orchestration tools (Airflow / Step Functions).
• Proficiency in building data marts and OLAP models.
• Experience with API‑based ingestion and microservice data flows.
• Understanding of data governance, RBAC, and encryption.
• Familiarity with Docker and GitHub CI/CD.

Nice‑to‑Have Skills

• Experience with geo‑spatial data (H3, PostGIS, GeoPandas).
• Exposure to AI/ML data pipelines or analytics rule engines (Drools).
• Understanding of streaming analytics and lakehouse architectures.
• Knowledge of BI tools: QuickSight, Metabase, Power BI.

Soft Skills

• Strong ownership and problem‑solving mindset.
• Effective communication with cross‑functional teams.
• Comfortable in a high‑growth, fast‑paced startup environment.

Why Join ServCrust?

• Work on real‑world logistics, finance, and IoT data impacting thousands of businesses.
• Be part of a scalable, AI‑driven SaaS ecosystem transforming the construction supply chain.
• Growth opportunities into Data Platform Lead roles.