Senior Data Engineer

Job Title

Oversee the requirements, scope, and technical design of integration workflows to ensure accurate and specification-compliant builds. Additionally, develop and maintain comprehensive requirements, design documentation, and test plans.

Seek out, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.

Coordinate with BI Engineers and development teams around data management including schemas, failure conditions, reconciliation, test data set up, etc.

Build the infrastructure required for optimal ETL/ELT pipelines to ingest data from a wide variety of data sources using Microsoft Azure technologies such as Azure Data Factory and Databricks.

Construct and maintain enterprise level integrations using the Snowflake platform, Azure Synapse, Azure SQL, SSIS and SQL Server.

Create data tools for data analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader.

Design analytics tools that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Troubleshoot issues helping to drive root-cause analysis, and work with infrastructure teams to resolve incidents and arrive at a permanent resolution.

Partner with data and analytics teams to strive for greater functionality in our data systems.

Provide direction and coordination for development, and support teams, including globally located resources.

Understand the layout and working of existing integrations that send and receive data between Salesforce, Oracle, Concur, JDE, Corporate Data Platform and other systems.

Ensure compliance with IT Policy, Sarbanes-Oxley and SOC2 requirements.

Regularly provide coaching, guidance, and training to less-experienced analysts/programmers.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

Skills and requirements:

• A relevant technical BS Degree in Information Technology

• 5+ years writing SQL queries against any RDBMS with query optimization

• 5 years of data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Synapse, SQL Server

• Experience with scripting tools such as Power Shell, Python and XML

• Understanding the pros and cons, and best practices of implementing Data Lake, using Microsoft Azure Data Lake Storage

• Experience structuring Data Lake for reliability, security and performance

• Experience implementing ETL for Data Warehouse and Business intelligence solutions

• Skills to read and write effective, modular, dynamic, parameterized and robust code, establish and follow already established code standards, and ETL framework

• Strong analytical, problem solving, and troubleshooting abilities

• Good understanding of unit testing, software change management, and software release management

• Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as Code fundamentals

• Experience performing root cause analysis on data and processes to answer specific business questions, and identify opportunities for improvement

• Experience working within an agile team

• Excellent communication skills