Data Engineer

5 days ago

Ahmedabad, Gujarat, India Aptologics Full time ₹ 9,00,000 - ₹ 12,00,000 per year

Company Description

Aptologics is a global Data & AI company that simplifies complex data, builds scalable analytics platforms, and operationalizes AI to drive measurable outcomes. We deliver tailored solutions that help enterprises move faster, decide smarter, and grow with confidence.

Role Description

We are looking for an experienced Data Engineer to join our growing team. The ideal candidate has hands-on experience in building scalable data pipelines, designing robust data models and maintaining efficient data processing systems. You'll collaborate with Data Engineers, Analysts and other stakeholders to deliver reliable, high-performance data solutions that enable data-driven decision-making across the organization.

This is an exciting opportunity to work with modern data technologies and solve complex challenges for clients across diverse industries.

Experience Required: 3-5 years

Employment Type: Full time, On-site

Location: Ahmedabad

Key Responsibilities:

  1. Data Architecture & Modelling

· Design, develop, and maintain scalable data pipelines and data models.

· Build curated and semantic data layers to support analytical and reporting use cases.

  1. Data Engineering & Technical Execution

· Write and optimize complex SQL queries and Python scripts for high-performance data processing.

· Develop and integrate RESTful APIs for the data ingestion pipeline.

· Implement and monitor data quality, accuracy and security measures across systems.

  1. Collaboration & Delivery

· Work with cross-functional teams including engineers, analysts and other stakeholders

·  Mentor junior engineers and contribute to high-quality project delivery.

Requirements:

  • 3–5 years of experience as a Data Engineer working with any ETL/ELT tool.
  • Strong proficiency in SQL and programming experience in Python, Scala or Java.
  • Hands-on experience with modern data warehouse platforms (e.g.  Databricks, Snowflake or similar).
  • Experience working with at least one cloud platform (Azure, AWS or GCP).
  • Solid understanding of data modelling, data warehousing principles, performance optimization and CI/CD pipelines.

Nice to Have:

  • Exposure to visualization tools such as Power BI or Tableau.
  • Familiarity with dbt, Airflow or similar data workflow tools.

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