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Data Engineer

• Posted 6 hours ago • Updated 6 hours ago

Full Time

Fitment

Dice Job Match Score™

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Job Details

Skills

Apache Spark
ADF
Data Modeling
Performance Tuning
Optimization
Data Governance
Microsoft Power BI
Scrum
Data Engineering
ELT
Databricks
Data Warehouse
Data Marts
Analytical Skill
Reporting
Business Intelligence
Advanced Analytics
Orchestration
PySpark
SQL
Python
Stored Procedures
Data Lake
Storage
Collaboration
Extract
Transform
Load
Scalability
Data Quality
Database
Streaming
Security Controls
Identity Management
Encryption
Migration
Snow Flake Schema
DevOps
Git
Continuous Integration
Continuous Delivery
Root Cause Analysis
Agile
Technical Drafting
Technical Writing
Knowledge Transfer
Data Processing
Data Management
Application Development
Analytics
Cloud Computing
Management
Amazon Web Services
Microsoft
Artificial Intelligence
Innovation
Microsoft Azure
Oracle
MySQL

Apache Spark
ADF
Data Modeling
Performance Tuning
Optimization
Data Governance
Microsoft Power BI
Scrum
Data Engineering
ELT
Databricks
Data Warehouse
Data Marts
Analytical Skill
Reporting
Business Intelligence
Advanced Analytics
Orchestration
PySpark
SQL
Python
Stored Procedures
Data Lake
Storage
Collaboration
Extract
Transform
Load
Scalability
Data Quality
Database
Streaming
Security Controls
Identity Management
Encryption
Migration
Snow Flake Schema
DevOps
Git
Continuous Integration
Continuous Delivery
Root Cause Analysis
Agile
Technical Drafting
Technical Writing
Knowledge Transfer
Data Processing
Data Management
Application Development
Analytics
Cloud Computing
Management
Amazon Web Services
Microsoft
Artificial Intelligence
Innovation
Microsoft Azure
Oracle
MySQL

Summary

Job Description

Azure Data Engineer with 6+ years of experience designing, developing, and optimizing enterprise-scale data platforms using Microsoft Azure and Snowflake
Proven expertise in building scalable data pipelines, data warehouses, and analytics solutions leveraging Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Snowflake, Python, SQL, and Spark
Experienced in data modeling, ETL/ELT development, cloud migration, performance tuning, data governance, and implementing CI/CD practices
Strong background in integrating data from multiple sources and enabling business intelligence and advanced analytics solutions

Key Skills:
Azure Data Factory (ADF)
Azure Databricks
Azure Synapse Analytics
Snowflake Data Cloud
Python, PySpark, SQL
Azure Data Lake Storage (ADLS Gen2)
Azure Functions
Delta Lake
Data Warehousing & Data Modeling
ETL / ELT Development
CI/CD (Azure DevOps, Git)
Performance Tuning & Optimization
Data Governance & Security
Power BI Integration
Agile & Scrum Methodologies

What you will do:

Design, develop, and maintain scalable data engineering solutions on Azure and Snowflake platforms
Build and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, and Snowflake to ingest, transform, and load data from various structured and unstructured sources
Develop and maintain enterprise data warehouses, data marts, and analytical datasets supporting reporting, BI, and advanced analytics initiatives
Implement data transformation and orchestration processes using PySpark, SQL, Python, and Snowflake stored procedures
Design and manage cloud-based data lakes using Azure Data Lake Storage (ADLS Gen2) and Delta Lake architecture
Collaborate with business stakeholders, data analysts, and architects to gather requirements and translate them into scalable data solutions
Monitor and optimize data pipeline performance, ensuring reliability, scalability, and cost efficiency
Implement data quality frameworks, validation rules, and monitoring processes to ensure accurate and trusted data
Manage Snowflake objects including databases, schemas, warehouses, tasks, streams, and data-sharing capabilities
Develop and maintain dimensional and normalized data models following industry best practices
Implement security controls, access management, encryption, and governance policies across Azure and Snowflake environments
Support cloud migration and modernization initiatives from on-premises or legacy platforms to Azure and Snowflake
Automate deployment processes using Azure DevOps, Git repositories, and CI/CD pipelines
Troubleshoot production issues, perform root cause analysis, and provide timely resolution for data-related challenges
Participate in Agile ceremonies, code reviews, and technical design discussions to ensure high-quality solution delivery
Create technical documentation, architecture diagrams, operational runbooks, and knowledge-transfer materials

Preferred Certifications:
Microsoft Certified: Azure Data Engineer Associate (DP-203)
SnowPro Core Certification

About Us

Datavail is a leading provider of data management, application development, analytics, and cloud services, with more than 1,000 professionals helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. For more than 17 years, Datavail has worked with thousands of companies spanning different industries and sizes, and is an AWS Advanced Tier Consulting Partner, a Microsoft Solutions Partner for Data & AI and Digital & App Innovation (Azure), an Oracle Partner, and a MySQL Partner.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX1cdced
Position Id: e69a51c2bc650a3fdae21e09ca18294f
Posted 6 hours ago

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