Lucid Technologies Inc

Developer will be responsible for developing new and modernizing existing applications to Azure Cloud Platform.

The ideal candidate must demonstrate in-depth knowledge and understanding of Database concepts.

The ideal candidate must demonstrate in-depth knowledge and understanding of Database concepts and, experienced in writing SQL and T-SQL. Need to support the applications with 24/7 availability and experience in handling Large Volume of Data, in Oracle and SQL Server, Azure SQL platform.

Essential Duties and Responsibilities: 

Collaborate with internal customers, prospects, and stakeholders, understand, and translates business use cases and/or requirements  

into data analysis and data mapping and consequently data integration routines which involves moving, cleansing, and transforming large amount of data between multiple systems. 

Identifies data sources, provides data flow diagrams, and documents source to target mapping and process. 

Collaborate with the Data Architect to recommend optimal data models for data ingestion and BI developer for analytic reports 

Provide technical enablement to team members developing database applications on a cloud platform. 

Facilitate the development of data integration efforts by leading small teams of 1-2 junior developers in addition to Knowledge of ETL Design Patterns, Error Handling and Configurations. 

Design, implement and maintain database objects (tables, views, indexes, etc.) and database security. 

Collaborate with data stewards, data owners and domain experts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, validation, and documentation. 

Maintain the data warehouse performance by optimizing batch processing through parallelization, performance tuning etc. 

Work with the Data Architect to establish processes for governing the identification, collection and use of educational metadata to assure metadata is accurate and valid in the business intelligence environments. 

Ensure data quality through creation of audit controls, proactive monitoring, and data cleansing techniques. 

Troubleshoot performance and reliability issues and investigate anomalous behavior in the Azure environment. 

Responsible for scheduled data processes integrity checks, performing deployments and coordinate for releases. 

Experience with Source Version Control software like GitHub and CICD pipelines 

Provide on-call support after hours as an when needed. 

7+ years of experience in Data Warehousing and Business Intelligence 

5+ Years in BI development leveraging the Microsoft SQL Server. Needs to be an expert in T-SQL 

5+ Years in SSIS and use of Stored Procedures. 

1-2 Years in Azure Data Factory, SQL VMs, build and maintain ETL 

Ingest and aggregate data from both internal and external data sources to build our data lake 

Strong understanding data modeling (i.e., conceptual, logical, and physical model design, experience with Operation Data Stores, Enterprise Data warehouses and Data Marts). 

Deep understanding of relational database design concepts and SQL programming 

Experience guiding/mentoring developers with lesser experience. 

Requires strong analytical, conceptual, and problem-solving abilities. 

Strong experience with business intelligence and data warehousing design principles and industry best practices. 

Good to have: 

1-2 Years in Azure Data Warehouse (Synapse) 

1-2 Years knowledge of utilizing Python, PySpark, SparkSQL On Azure Cloud 

•Bachelor's degree from an accredited college or university with coursework in computer science or management information systems AND 5 years of related experience.

Note: 1. The client is allowing telecommuting for this position for immediate future. However, the candidates must reside within commuting distance from the client site as urgent on-site meetings or full-time on-site work could be required at any time. Candidate outside Atlanta and willing to relocate can apply. Do you and your candidate agree to this requirement?

2. Engagement extensions are possible.

Data Modeling Required 5 Years

Data Warehousing and Business Intelligence Required 5 Years

Microsoft SQL Server, T- SQL, PL/SQL Required 5 Years

Sql Server Integration ServicesRequired 5 Years

Azure Data Factory, SQL VMs Required 3 Years

Azure Data Warehouse Required 2 Years

Python, PySpark, SparkSQL on Azure Cloud Highly desired2 Years