Data Engineer

Infinity Tech Group Inc

Princeton, United States of America

yesterday

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Intermediate

Job location

Princeton, United States of America

Tech stack

API

Airflow

Amazon Web Services (AWS)

Azure

Big Data

Google BigQuery

Cloud Computing

Computer Programming

Databases

Information Engineering

Data Governance

ETL

Data Mart

Data Security

Data Structures

Data Systems

Data Warehousing

Database Queries

Python

PostgreSQL

MongoDB

MySQL

NoSQL

NumPy

Data Streaming

Data Processing

Google Cloud Platform

Azure

Snowflake

GIT

Pandas

Data Lake

PySpark

Kafka

Spark Streaming

Data Management

Machine Learning Operations

Data Pipelines

Docker

Databricks

Job description

We are looking for a skilled Data Engineer with strong expertise in Python, data processing, and modern cloud data platforms like Snowflake or Databricks. The role involves building scalable data pipelines, enabling analytics, and supporting data-driven decision-making across the organization., * Design, build, and maintain scalable data pipelines (ETL/ELT)

Develop data workflows using Python
Work with large datasets in structured and unstructured formats
Implement data solutions using Snowflake or Databricks
Optimize data pipelines for performance, reliability, and cost
Build and manage data models, data marts, and data lakes
Integrate data from multiple sources (APIs, databases, streaming)
Ensure data quality, governance, and security
Collaborate with data analysts, scientists, and business teams
Automate workflows using orchestration tools (Airflow, etc.)

Requirements

Programming & Data

Strong proficiency in Python
Experience with:

Pandas, NumPy, PySpark

Solid understanding of:

Data structures & algorithms
Data processing techniques

Data Engineering

Hands-on with:

ETL/ELT pipeline development
Data warehousing concepts
Batch & streaming data processing

Platforms

Experience with at least one:

Snowflake, * Strong SQL skills

Experience with:

Relational DBs (PostgreSQL, MySQL)
NoSQL (MongoDB - optional)

Cloud (Preferred)

Experience in:

AWS (S3, Glue, Redshift)
Azure (ADF, ADLS)
Google Cloud Platform (BigQuery), * Apache Airflow / Prefect

Git, CI/CD pipelines
Docker (good to have), * 3-8+ years in Data Engineering or similar role, * Snowflake SnowPro Certification
Databricks Certified Data Engineer
AWS / Azure Data certifications, * Experience with real-time streaming (Kafka, Spark Streaming)
Knowledge of data governance & catalog tools
Exposure to Machine Learning pipelines
Understanding of data security & compliance, * Strong analytical and problem-solving mindset
Ability to work with cross-functional teams
Clear communication and documentation skills