Salesforce Developer

CareerCircle
Irving, TX, United States
8 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience required
0 years minimum
Compensation
$79,040.0 - $83,200.0
Working hours
Regular working hours

Tech stack

C (Programming Language) Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Airflow Amazon Web Services Data Analysis Architectural Patterns Computer Vision Microsoft Azure
+68 more
BigQuery C Sharp (Programming Language) C++ (Programming Language) Cloud Engineering Cloud Storage Software Documentation Information Systems Continuous Integration Information Engineering Data Governance Data Integration Extract Transform Load (ETL) Data Migration Data Systems DevOps Digital Technology Distributed Data Store Github Apache Hadoop Data Intelligence Python (Programming Language) PostgreSQL Machine Learning Meta-Data Management MongoDB MySQL NoSQL Tensorflow DataOps Cloudera Azure Machine Learning Salesforce.Com Software Deployment SQL Databases Data Streaming Trusted Systems Management of Software Versions Google Cloud Cloud Platform System Real Time Systems Azure Data Factory Pytorch Autoscaling Grafana Apache Spark Generative AI Infrastructure as Code (IaC) Data Strategy Containerization Data Lakes Pyspark Scikit Learn Integration Tests Kubernetes Information Technology Data Lineage Apache Flink Rancher Xgboost Apache Kafka Spark Streaming Machine Learning Operations Terraform Software Version Control Data Pipelines Docker Databricks Programming Languages

Job description

PySpark BigQuery Pipelines Operations Data Lakes Scalability Apache Kafka Apache Flink Apache Hadoop Data Pipelines Data Engineering Business Valuation Integration Testing Architectural Design Google Cloud Dataproc Google Cloud Composer Full Stack Development Technical Requirements Artificial Intelligence Business Transformation Google Cloud Platform (GCP) Extract Transform Load (ETL) Python (Programming Language), We are seeking a midlevel Data Engineer with hands-on expertise in Hadoop, PySpark, Python, and real-time streaming technologies such as Kafka. This role supports a large-scale migration of on-prem data and processing workloads into Google Cloud Platform (GCP). The candidate will be responsible for designing, developing, and deploying data pipelines across both Hadoop and GCP environments in a highly collaborative team setting.

The ideal individual is a hard-core developer who can independently convert requirements into scalable technical designs, perform integration and production deployments, and follow enterprise change-management and access-management procedures. The team has an established Hadoop platform and is actively

standing up a new GCP platform, making this a critical role for data movement, orchestration, and modernization.

Build and support Spark-based processing pipelines in Hadoop using PySpark and Python

Develop and maintain real-time streaming pipelines using Kafka

Design and implement data flows using Spark Streaming and Flink

Migrate data and workloads from on-prem Hadoop to GCP

Work extensively with BigQuery, Cloud Composer, Data Proc, and GCP Cloud Storage

Translate business and technical requirements into architecture, design, and deployment deliverables

Conduct integration testing, production deployments, and pipeline optimization

Work closely with internal teams, architects, and stakeholders to support platform enablement

Follow enterprise change-management and access-management processes, Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. Related Jobs Staff Data Engineer, Data Products Hershey Co.

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NoSQL MySQL MongoDB DataOps Automation Governance Databricks PostgreSQL Scalability Data Quality Data Science Data Lineage Communication Data Modeling Collaboration Mental Health Data Strategy AI Innovation Data Pipelines Version Control Microsoft Azure Data Governance Trusted Systems Computer Science Azure Databricks Machine Learning Data Engineering Value Propositions Rancher (Software) Workflow Management Amazon Web Services Information Systems Metadata Management Time Off Management Software Development Programming Languages Business Requirements Cloud-Native Computing Architectural Patterns Distributed Data Store Artificial Intelligence C (Programming Language) C# (Programming Language) SQL (Programming Language) C++ (Programming Language) Product Family Engineering Java (Programming Language) Extract Transform Load (ETL) Python (Programming Language) Design Elements And Principles JavaScript (Programming Language) Application Programming Interface (API) +0

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CI/CD DevOps Github MLflow Tooling Xgboost Grafana Auditing Templates Terraform Pipelines Scheduling Operations Management Automation Mentorship Governance Kubernetes Databricks Forecasting Testability Autoscaling Supply Chain Data Science Azure DevOps Communication Observability Azure Monitor Responsible AI Microsoft Azure Experimentation Computer Vision Computer Science Machine Learning Containerization Data Engineering Docker (Software) Azure Data Factory Demand Forecasting Technical Standard Consumer Analytics Workflow Management Production Planning Software Versioning Lifecycle Management Packaging And Labeling Software Documentation Azure Machine Learning Artificial Intelligence Concept Drift Detection Self Service Technologies SQL (Programming Language) Product Family Engineering Machine Learning Frameworks Infrastructure as Code (IaC) Python (Programming Language) Scikit-Learn (Python Package) PyTorch (Machine Learning Library) MLOps (Machine Learning Operations) Application Programming Interface (API) Machine Learning Model Monitoring And Evaluation +0

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Sales CI/CD Coaching Budgeting Operations Automation Governance Accounting Scalability Outsourcing Real Estate Communication Data Pipelines Solution Design Team Management Digital Systems Data Integration Safety Assurance Machine Learning Data Engineering Agile Methodology Data Intelligence Platform Agnostic Client Onboarding Product Management Financial Controls Product Engineering Property Management Software Engineering Request For Proposal Technical Management Performance Management Operational Excellence Artificial Intelligence Persuasive Communication Multi-Tenant Cloud Environments Key Performance Indicators (KPIs) Generative Artificial Intelligence +0

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Requirements

  1. 3+ years of experience in Data Engineering including hands on experience

working with Hadoop and Google Cloud Data Solutions

  1. Experience with GCP Data Services: Big Query, Cloud Storage, Data Proc,

Cloud Composer. Experience migrating on prem to GCP

  1. 2+ years of real time processing with Kafka, Flink, and Spark Streaming

  2. 3+ Years of data lake experience with Python, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

About the company

We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company., We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

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