Data Engineer

Key Responsibilities

• Build and maintain

data pipelines (ETL/ELT)

to ingest data from multiple sources.

• Develop and optimize

SQL queries

for analytics and reporting use cases.

• Assist in managing and scaling

data warehouses and data lakes.

• Perform

data validation, cleansing, and quality monitoring.

• Collaborate with Data Analysts, Data Scientists, and Product teams.
• Support cloud-based data solutions on

AWS, GCP, or Azure.

• Document data models, pipelines, and technical workflows.
• Troubleshoot and resolve pipeline failures or data discrepancies.
• Follow best practices related to

data security, governance, and compliance.

Required Qualifications

• Master’s degree (required)

in

Data Science, Computer Science, Information Systems, Engineering, Analytics, or a related field.

• Strong proficiency in

SQL

(joins, window functions, aggregations).

• Working knowledge of

Python

for data processing and automation.

• Understanding of

data modeling, ETL concepts, and database design.

• Familiarity with relational databases such as

PostgreSQL, MySQL, SQL Server, or Oracle.

• Exposure to at least one

cloud platform

(AWS, GCP, or Azure).

• Knowledge of

Git or other version control systems.

• Strong analytical thinking and problem-solving skills.
• Excellent written and verbal communication skills.