Apptad · 9 hours ago
BI ETL Developer/ Data Engineer – 9+ yrs exp (W2 Only)
Austin, TX
Contract
Onsite
Senior Level
$55/hr - $55/hr
6+ years expApptad is seeking a BI ETL Developer/Data Engineer with extensive experience to manage and optimize data pipelines. The role involves developing ETL processes, conducting data analysis, and supporting BI solutions to drive organizational growth.
ConsultingDevOpsInformation TechnologyProduct ManagementSoftware
No H1B
Hiring Manager
Kumari Nisha Jyoti
Responsibilities
Manage the end-to-end lifecycle of data pipelines, including extraction, transformation, and loading into the Google Warehouse (GCP)
Conduct in-depth data analysis and apply statistical methods to derive insights
Execute code development within the designated DEV environment
Perform comprehensive validation and testing prior to deploying code to UAT or other staging environments
Document and maintain records of all test outcomes
Facilitate the code submission process by preparing ChangeLists for peer review
Oversee the final deployment of code across multiple environments, including UAT, PREPROD, and PROD
Develop and manage ETL data pipelines to populate the data warehouse using various custom and third-party systems
Create, deploy, and refine comprehensive full-stack Data and BI solutions, covering everything from extraction and storage to transformation and visualization
Utilize SQL and Python to build and maintain robust data analysis scripts
Provide ongoing support and development for dashboards and reports via Google PLx and Looker Studio
Enhance existing business intelligence tools and create new dashboards to drive organizational growth
Conduct detailed data examinations and apply statistical analysis techniques
Monitor performance and implement necessary infrastructure optimizations
Demonstrate excellent collaboration, interpersonal communication and written skills with ability to work in a team environment
Design, develop, and maintain scalable and robust ETL/ELT processes and data pipelines using various tools and technologies
Build and optimize data warehouses, data lakes, and other data storage solutions to support analytical and operational needs
Implement data quality checks and monitoring to ensure the accuracy, completeness, and consistency of data
Work with large datasets, performing data modeling, schema design, and performance tuning
Create data models that are easy for BI tools to consume and build dashboard
Qualification
Required
Strong ETL
SQL expert with knowledge on python
ETL concepts
Data Warehousing concepts
Advanced SQL Concepts
Data Validation/Data Quality Check
CI/CD techniques
Programming language: JAVA, Python
Cloud Platform: GCP
Candidates must possess at least 6-8 years of professional experience
Company
Apptad
Apptad offers strategic consulting, enterprise information management, and digital transformation services.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
A
Arbind Singh
Co-Founder and Chief Executive Officer (CEO)
Company data provided by crunchbase