Role: Data Engineer

Location: Bangalore (Local candidates Only)

Experience: 10+ yrs

Additional Information
Experience in Python & Spark - Mandatory
AWS Solution Architect - Optional

Job Description

Roles & Responsibilities

A Data Engineer is responsible for designing, developing, and maintaining the data solutions that ensure the availability and quality of data for analysis and/or business transactions.

They design and implement productive data storage, processing and retrieval solutions for datasets and build data pipelines, optimize database designs, and work closely with data scientists, architects, and analysts to ensure data quality and accessibility.

Data engineers require solid skillsets in data integration, acquisition, cleansing, harmonization, and transforming data.

They play a crucial role in transforming raw data into datasets designed for analysis which enable organizations to unlock valuable insights for decision making.

Key Objectives/Deliverables




Gather and store data in a location and format that can be consumed for data preparation and/or downstream business uses.
Engage in an iterative process for exploring, integrating, cleaning, validating, and transforming raw data into curated datasets.
Release data in a consumable form for reuse by others.
Select and manage appropriate database systems, optimize data schemas, and ensure data quality and integrity.
Enhance the performance and scalability of data systems to handle large volumes of data efficiently.
Implement security measures to protect data.
Collaborate closely with data scientist, analysts, and other stakeholders to understand data requirements and deliver solutions.
Identify and resolve issues within data pipelines and storage systems.
Create detailed documentation of data processes, pipelines, and systems for reference and maintenance.

Additional Skills/ Preferences (cont.)
10 years of experience designing large scale data models for functional, operation

📌 Data Engineer Bengaluru
🏢 QUANTALEAP
📍 Bengaluru