Data Engineer

Zyxware Technologies; Dallas (TX); Remote; USD 144,000 - 164,000; Full time

Job summary

An innovative company is looking for a skilled Data Engineer to join their team and work on transformative enterprise data platform projects. This role focuses on developing data pipelines and logic engines to manage data ingestion, staging, and modeling. The ideal candidate will have expertise in modern data tools like Databricks and Snowflake, as well as strong skills in SQL and Python. You'll collaborate with cross-functional teams to deliver high-quality data products, embracing new technologies and methodologies. If you're passionate about data and eager to make a significant impact, this opportunity is perfect for you.

Qualifications

• Experience with modern data tools like Databricks and Snowflake.
• Strong knowledge of SQL, Python, and data architecture.
• Ability to troubleshoot and resolve complex data issues.

Responsibilities

• Collaborate on the overall architecture of data solutions.
• Design and deploy data processing modules using SQL and Python.
• Build and optimize data pipelines on various platforms.

Skills

SQL

Python

Data Architecture

ETL Processes

Data Warehousing

Data Integration

CICD Pipelines

Problem Solving

Tools

Databricks

Snowflake

SQL Server

Azure Data Fabric

GitHub Enterprise

DBT

Airflow

Job description

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Talent Acquisition- US at Zyxware Technologies

Location: Remote

We are seeking a skilled Data Engineer to contribute to transformative enterprise data platform projects focused on developing data pipelines and logic engines to manage ingest, staging, and multi-tier data product modeling and enrichment using various OEM-specific data warehouse and data lake house platform implementations for consumption via analytics clients. This role requires full life cycle design, build, deployment, and optimization data products for multiple large enterprise industry vertical-specific implementations by processing datasets through a defined series of logically conformed layers, models, and views.

Role & Responsibilities:

• Collaborate in defining the overall architecture of the solution. This includes knowledge of modern Enterprise Data Warehouse and Data Lakehouse architectures that implement Medallion or Lambda architectures
• Design, develop, test, and deploy processing modules to implement data-driven rules using SQL, Stored Procedures, and Python.
• Understands and owns data product engineering deliverables relative to a CI-CD pipeline and standard DevOps practices and principles
• Build and optimize data pipelines on one or more of these platforms: Databricks, Snowflake, SQL Server, or Azure Data Fabric.

Hard Skills - Must have:

• Current knowledge of using one or more of the following modern data tools -Databricks, Snowflake, SQL Server, or Azure Data Fabric
• Core experience with data architecture, data integrations, data warehousing, and ETL processes
• Applied experience in SQL, Stored Procedures, and Python based on the area of data platform specialization.
• Strong knowledge of one or more of the following relational database systems - MS SQL Server, PostgreSQL, Oracle, Snowflake, Azure SQL, AWS RDS, Aurora, etc.
• Experience with CICD pipelines to support deployment and integration workflows, including trunk-based development using GitHub Enterprise

Hard Skills - Nice to have/It's a plus:

• Proficiency in Python Analytics for advanced data processing tasks.
• Experience with DBT and Airflow for rapid model prototyping and collaboration

Soft Skills / Business Specific Skills:

• Ability to identify, troubleshoot, and resolve complex data issues effectively.
• Strong teamwork, communication skills, and intellectual curiosity to work collaboratively and effectively with cross-functional teams.
• Commitment to delivering high-quality, accurate, and reliable data products solutions.
• Willingness to embrace new tools, technologies, and methodologies.
• Innovative thinker with a proactive approach to overcoming challenges.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Other

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