Senior GCP Data Engineer

Prodapt • Richardson, TX, US

job_description.job_card.variable_days_ago

serp_jobs.job_preview.job_type

serp_jobs.job_card.full_time

job_description.job_card.job_description

Get AI-powered advice on this job and more exclusive features.

Overview

Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, we serve telecom and tech companies that are building networks and shaping the digital experiences of tomorrow. We deliver consulting, managed services, and business reengineering. Our strength comes from being both AI-first and Telco-native. Gartner recognizes Prodapt as a Large, Telecom-Native Regional IT Service Provider. This expertise allows us to provide tailored solutions that directly address industry challenges. Our focus is on being a customer-centric partner, fully aligning with our client's business goals and driving their success at every step. With over 6,000 Prodaptians across 30+ countries and backed by the 130-year legacy of the Jhaver Group, Prodapt combines a heritage of excellence with cutting-edge innovation.

Senior Data Engineer

We are seeking an experienced Senior Data Engineer with strong expertise in Google Cloud Platform (GCP) Hadoop ecosystem , and data engineering R&D . The ideal candidate will design, build, and optimize large-scale data pipelines, perform advanced research on emerging technologies, and ensure data solutions are scalable, secure, and high-performing.

Responsibilities

Data Engineering & Architecture

Design and implement data pipelines for batch and streaming using GCP services (BigQuery, Dataflow, Pub / Sub, Dataproc).

Develop and maintain Hadoop-based solutions (Hive, HBase, Spark, Oozie).

Optimize data storage and retrieval for structured and unstructured data.

R&D and Innovation

Research and prototype new data processing frameworks, cloud-native architectures, and performance optimization techniques.

Evaluate emerging technologies (e.g., AI / ML integration, real-time analytics) for adoption.

Performance & Scalability

Tune BigQuery queries and Hadoop clusters for cost and performance efficiency.

Implement in-memory caching strategies (e.g., Memorystore / Redis) for low-latency access.

Requirements

BS or MS in CS / ECE or related, 10+ years of experience in data science and data engineering.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Technology, Information and Internet

Referrals increase your chances of interviewing at Prodapt by 2x

Get notified about new Senior Data Engineer jobs in Richardson, TX

Dallas, TX | Salary : $162,000–$230,000 (posted 2 months ago)

J-18808-Ljbffr

serp_jobs.job_alerts.create_a_job

Senior Data Engineer • Richardson, TX, US