Hiring Azure Data Engineer

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About DMI

DMI, the worlds first end-to-end mobility company, combines all the skills and services necessary to deliver mobile enterprise solutions. Built to reinvent business through mobility, DMI has expertise in mobile strategy, UX, web, and app development, omni-channel commerce, brand and marketing, big data management and analytics, and secure device and app management. The companys unique, integrated approach to mobility has resulted in dramatic growth as well as an expanding client base, which includes hundreds of Fortune 1000 commercial clients and all fifteen U.S. Federal Departments. DMI is headquartered in Washington DC area, with satellite offices around the world. Additional information is available at www.dminc.com and on LinkedIn, Twitter, Facebook, and Google+.

Minimum Requirements:

• 5+ years of experience overall in IT
• Current - 2+ years of experience on Azure Cloud as Data Engineer
• Current - 1.5+ years of hands-on experience on Databricks/Azure Databricks
• Proficient in Python/PySpark
• Proficient in SQL/TSQL
• Proficient in Data Warehousing Concepts (ETL/ELT, Data Vault Modelling, Dimensional

Modelling, SCD, CDC)

Primary Skills:

Azure Cloud, Databricks, Azure Data Factory, Azure Synapse Analytics, SQL/TSQL, PySpark,

Python

Technical Expertise:

• ETL/ELT Pipelines: Design, implementation, and optimization.
• Azure ADF and Synapse: Proficiency in creating pipelines, developing notebooks, and

performing data transformations.

• Databricks: Hands-on experience with creating notebooks and performing data

transformations.

• Familiarity with Dataflows, Data Wrangling, and integration with REST APIs.
• Experience with Parquet and Delta file processing, along with optimization techniques
• Familiarity with Azure DevOps and CI/CD

and Methodologies:

• Data Warehousing: Comprehensive understanding of concepts and implemention
• Data Modelling Techniques: Familiarity with Data Vault (if not, then Dimensional

Modelling Technique)

• SCD and CDC: Strong grasp of Slowly Changing Dimensions (SCD) and Change Data

Capture (CDC) methodologies

• Agile Methodology

Programming Skills:

Python/PySpark/SparkSQL Strong proficiency in any of these SQL/T-SQL

A must-have:

• Demonstrates strong association with team dynamics and the ability to maintain

harmony in a collaborative environment.

• Proven ability to be a team player who contributes to shared goals while supporting

peers.

Good to have:

• Basic knowledge on Delta Tables, Delta Live Tables (DLT), Partitioning and Optimization. • Knowledge of Unity Catalog and Job Clusters is an added advantage.
• Familiarity with tools like Azure Monitor, Log Analytics, and Spark UI is an added

advantage.

• Good to have knowledge with real-time data ingestion and streaming pipelines.
• Experience with framework driven projects (Metadata framework, Audit control

framework)

• Relational and No-SQL Databases

Certifications:

• AZ 900 Azure fundamentals
• DP 203 Azure Data Eng
• Databricks Associate Data Engineer