Data Engineer

Stellent IT LLC

Cupertino, United States of America

8 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Compensation

$ 178K

Job location

Cupertino, United States of America

Tech stack

API

Amazon Web Services (AWS)

Azure

Big Data

Cloud Computing

Computer Programming

Information Engineering

Data Governance

ETL

Data Mining

Data Systems

Data Warehousing

Relational Databases

Document-Oriented Databases

Python

Simple Object Access Protocol (SOAP)

SQL Databases

Data Streaming

Google Cloud Platform

Robot Operating System

Data Ingestion

System Availability

Spark

PySpark

Information Technology

Kafka

Api Design

REST

Data Pipelines

Api Management

Job description

Position Overview: We are looking for a passionate and skilled Data Engineer with expertise in Spark, Python, SQL, and API development to design, develop, and maintain end-to-end data solutions. The ideal candidate will work closely with cross-functional teams to build scalable data pipelines, ensure data quality, and enable analytics and reporting., * Design, develop, and maintain scalable data pipelines using Apache Spark and Python.

Develop and optimize SQL queries for data extraction, transformation, and loading (ETL).
Build and implement end-to-end API integrations for data ingestion and dissemination.
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
Ensure data accuracy, integrity, and security across all platforms.
Monitor and troubleshoot data pipeline issues, ensuring high availability and performance.
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Requirements

Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
Proven experience with Spark (PySpark) for large-scale data processing.
Strong programming skills in Python for data manipulation and automation.
Extensive experience with SQL and relational databases.
Hands-on experience developing and consuming APIs (RESTful/SOAP).
Knowledge of data warehousing concepts and tools.
Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
Excellent problem-solving skills and attention to detail.
Strong communication and teamwork skills.

Preferred Skills:

Experience with streaming data technologies (Kafka, Kinesis).
Knowledge of data governance and security best practices
Experience with CI/CD pipelines for data workflows

Benefits & conditions

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