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Data Solutions Engineering & Analytics Manager

Company: Insight Global
Location: Marietta
Posted on: May 8, 2024

Job Description:

Job Description

A client of Insight Global has an excellent opportunity for a Data Solutions Engineering & Analytics Manager to join our Digital Transformation Team in Marietta, GA. This will require 3 days onsite each week.

In this position you will be a leader in driving the business vision, prioritization, and execution of data initiatives as part of the client's Digital Transformation. Will be responsible for developing the data platform that will be able to take the digital data collected from the various resources and be able to help the BU"s to develop successful strategic business programs.

What you'll be doing:

* SME in development of the platform to unify all the data across the enterprise as well as other external data sources and advance the vision for digital transformation and innovation at the client.

* Responsible for data platform vision and strategy -- create a clear, convincing technical strategy that aligns to business priorities and objectives.

* Responsible for developing data products from proof of concept to scalable solutions based on business priorities and impact, using modern tools and technologies on the cloud.

* Utilize Artificial Intelligence (AI)/Machine Learning (ML) to elevate our organization towards more advanced analytics.

* Guide the development of data structures and pipelines that organize, collect, and standardize data to generate insights and address reporting needs.

* Optimize the data pipeline platform to support scalable workloads and diverse use cases.

* Define and deploy data architecture and enable top-down governance models.

* Lead an enterprise culture shift towards a data-driven culture.

* Increase adoption of data & analytics (D&A) via self-service and data catalog.

* Enable data driven business decisions for a wide population of business users by providing advanced access to data & analytics information via easy combinations of elements.

* Decision Making: The position will be accountable for all the DX Data product engineering decisions (Strategy, Features, Releases, etc.) and the management of the data budget.

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 .

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Skills and Requirements

* Bachelor's Degree or equivalent in Computer Sciences, Data Analytics, Management Information Systems, or related quantitative field in Data Engineering

* 8+ years of experience in designing and building new scalable on-prem/cloud data engineering solutions using distributed frameworks like Spark, Hadoop etc.

* Experience building and leveraging Customer Data Platforms such as Salesforce CDP to enable personalization and customer segmentation.

* Data Engineering: Experience in core data engineering activities like:

o Database optimization (partitioning, group and sort keys, indexes, query optimization),

o Data processing: (Spark, SQL Server, PostgreSql, Hadoop/Hive),

o Programming and/or scripting experience: (Python, PySpark, Bash),

o Data cleansing, Integration testing (PyTest or Unittest)

* Experience in Google Analytics 4 (GA4) is a must.

* Automation: Experience in automation and testing of data workflows, preferably Apache Airflow

* Familiarity with a broad base of analytical methods like Data modeling, variable based transformation & summarization, and algorithmic development.

* Experience working with: Airflow, Kubernetes, Cloud infrastructure (e.g., Azure, GCP), CI/CD (e.g., Azure DevOps, Git actions, Jenkins, or CircleCI)

* Hands-on experience with cloud data warehousing services like Snowflake and/or Big Query.

* Understanding of upcoming data technology trends like The Data Fabric from conceptualization to implementation. * Bachelor's Degree or equivalent in Computer Sciences, Data Analytics, Management Information Systems, or related quantitative field in Data Engineering

* 8+ years of experience in designing and building new scalable on-prem/cloud data engineering solutions using distributed frameworks like Spark, Hadoop etc.

* Experience building and leveraging Customer Data Platforms such as Salesforce CDP to enable personalization and customer segmentation.

* Data Engineering: Experience in core data engineering activities like:

o Database optimization (partitioning, group and sort keys, indexes, query optimization),

o Data processing: (Spark, SQL Server, PostgreSql, Hadoop/Hive),

o Programming and/or scripting experience: (Python, PySpark, Bash),

o Data cleansing, Integration testing (PyTest or Unittest)

* Experience in Google Analytics 4 (GA4) is a must.

* Automation: Experience in automation and testing of data workflows, preferably Apache Airflow

* Familiarity with a broad base of analytical methods like Data modeling, variable based transformation & summarization, and algorithmic development.

* Experience working with: Airflow, Kubernetes, Cloud infrastructure (e.g., Azure, GCP), CI/CD (e.g., Azure DevOps, Git actions, Jenkins, or CircleCI)

* Hands-on experience with cloud data warehousing services like Snowflake and/or Big Query.

* Understanding of upcoming data technology trends like The Data Fabric from conceptualization to implementation. null

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.

Keywords: Insight Global, Marietta , Data Solutions Engineering & Analytics Manager, Executive , Marietta, Georgia

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