Senior Data Engineer

Covestic Inc; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Milestone Technologies is seeking a Data Engineer to support an EDW migration from on-prem SQL Server 2016 to Azure Cloud. You will focus on data quality, measurement of failures, and validation of data loads across new data pipes.

You will collaborate with BI/reporting teams, define quality thresholds with stakeholders, and contribute to CI/CD improvements using Azure DevOps. Strong SQL, Python, and PowerShell skills are required.

Qualifications

• Bachelor's degree or higher in a technical field such as Engineering or Computer Science.
• 5+ years designing, building, and supporting data pipes.
• 2+ years automating data quality measurements for ETL processes.
• 1+ year of experience with Azure Data Services: ADF, ADLS, Synapse, Analysis Services, Data Factory.
• Strong SQL Server experience (preferably 2016) and scripting with PowerShell and Python.
• Experience with CI/CD using Azure DevOps is a plus.

Responsibilities

• Translate data requirements for new data quality controls into technical designs.
• Create automated processes to measure data quality, failures, and errors.
• Analyze existing systems and data pipes to identify improvements.
• Evolve data quality processes and templates.
• Collaborate on data modeling using Kimball dimensional modelling.
• Aggregate and combine raw data from multiple sources.
• Develop tools to measure and report data quality.
• Support CI/CD framework enhancements in Azure DevOps.

Skills

Data quality management

ETL design

CI/CD collaboration

Communication

Team collaboration

Education

Bachelor's degree or higher in a technical field

Tools

Azure Data Services

Azure Data Factory

Azure Data Lake Storage

Azure Synapse Analytics

Azure Analysis Services

Azure Blob Storage

SQL Server 2016

PowerShell

Python

Azure DevOps

Job description

Milestone Technologies is looking for a Data Engineer to support a client's EDW migration from on-prem (SQL Server 2016) to the Azure Cloud. This role will focus on the data quality and errors for the new data pipes established from the source to the new target cloud database. You will work closely with the team that is designing and building the data pipes as well as the lead business analyst who is working with internal stakeholders defining the data quality requirements and thresholds. You will be responsible for designing and building the processes for measuring data quality, data transmission failures, and data load errors. In addition to this, you will be expected to work with report developers to create dashboards and reports showcasing the data quality.

• Translate data requirements for new data quality controls and thresholds into technical designs and specifications
• Create automated processes to measure data quality, failures, and errors
• Analyze existing systems and data pipes to identify areas for improvement or opportunities to enhance
• Continue to help evolve and improve the data quality processes and templates
• Profile data sources to understand existing quality issues in the ETL processes
• Collaborate on data modeling tasks including recommending and evaluating designs based on Kimball dimensional data modeling practices
• Aggregate and combine raw information from different data sources
• Explore ways to enhance data quality and reliability including helping with the development of support and remediation processes
• Identify opportunities for data acquisition
• Develop analytical tools and processes to measure and report data quality
• Help adjust and tune existing CI/CD framework and processes (Azure DevOps) as needed to improve data quality
• Assist Senior BI Engineer and Senior Data Engineer on innovative technology POCs

Skills

• Bachelor's Degree or higher in a technical field such as Engineering, Computer Science, etc.
• Minimum 5+ years of experience designing, building, and supporting data pipes
• Minimum 2+ years of experience creating automated solutions for measuring data quality for ETL processes
• Minimum 1+ year of recent experience working with the following Azure Data Services: Azure Data Catalog, Azure Blob Storage, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analysis Services, Azure Data Factory
• Strong background working with Microsoft SQL Server databases (preferably 2016)
• Understanding of Power BI and DAX functions (do not need to be a report developer or data visualization expert)
• Able to read and edit PowerShell scripts
• Prior experience working with CI/CD processes using Azure DevOps
• Strong interpersonal and customer relationship skills
• Ability to communicate to multiple levels of the organization and with non-technical partners
• Experience reading and editing Python scripts