About the Role

ScatterPie Analytics is seeking a Data Engineer to join our growing Data Platforms & Engineering team. The ideal candidate will be responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and supporting business intelligence initiatives. This role requires solid SQL and Python skills, along with a passion for transforming raw data into meaningful business insights.

Key Responsibilities
Develop and maintain SQL queries, stored procedures, views, and database objects.
Design, build, and support ETL processes for data extraction, transformation, and loading.
Perform data cleaning, validation, and quality assurance activities.
Analyze raw data and transform it into structured datasets for reporting and analytics.
Optimize database performance through query tuning and best practices.
Automate repetitive data processing tasks using Python.
Process and manage data from multiple sources including databases, CSV,



and Excel files.
Collaborate with business stakeholders and reporting teams to understand data requirements.
Troubleshoot data-related issues and provide production support.
Maintain documentation of data workflows and processes.

Required Skills
Robust SQL knowledge (MySQL, PostgreSQL, SQL Server)
Python programming
Pandas and NumPy
ETL Concepts
Data Cleaning & Validation
Excel and CSV Data Processing
Basic Data Warehousing Concepts
Git / Version Control

Requirements
Preferred Skills
Azure / AWS / GCP Fundamentals
Apache Airflow
Azure Data Factory (ADF)
Databricks
Data Pipeline Automation

Educational Qualification
B.E. / B.Tech (IT, Computer Science or related field)
M.Sc. IT or equivalent qualification

📌 Data Engineer Thane (India)
🏢 ScatterPie Analytics
📍 India