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Commission Databricks Data Engineer Jobs in Georgia

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Databricks, PySpark, Python and other related services. Build data pipelines and workflows to ... Data Engineering Lead (Marketing) Delivery Management (20%) Find creative solutions to challenging ...

ACI Infotech

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main ... Factory, Databricks, PySpark, Python and other related services. • Build data pipelines and ...

Ubertal Inc

Senior Data Engineer

Atlanta, GA · On-site

Senior Data Engineer Location: Atlanta, GA (Hybrid - Onsite Tuesday-Thursday, per manager ... Create and manage notebooks (Fabric Notebooks, Databricks) for data transformation using Python ...

NAVA Software Solutions

Big Data Engineer

Atlanta, GA · On-site

$53.50 - $71/hr

Big Data Engineer Location: Atlanta GA - Hybrid Duration: 12 months The successful candidate must ... Experience with Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake ...

HRC Global Services

This role is ideal for a technically strong data engineering professional who has deep experience with Azure Databricks, Apache Spark, modern lakehouse architectures, and large-scale data pipelines

XTG

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or ...

Apex Informatics

Data Network Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Technical Stack: • Microsoft Fabric • Azure Databricks • SQL Server / SQL Managed Instances ... Fabric Analytics Engineer or Azure Data Engineer Associate • Knowledge of CI/CD automation with ...

Paul Hastings

Senior Data Engineer

Atlanta, GA

$194K/yr

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2) andAzure Databricks;

ACI Infotech

Lead Data Engineer

Atlanta, GA · On-site

$98K - $129K/yr

... Data Factory, Databricks, PySpark, Python, and associated services. - Demonstrated leadership experience in managing technical teams and driving successful project outcomes. - Strong problem-solving ...

Sarian, Inc.

Azure Databricks Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Proficiency with Azure Databricks, Apache Spark, and data processing frameworks. * Strong ... Azure Data Engineer or Azure Solutions Architect certifications. * Architecture Design: Design and ...

INSPYR Solutions

Lead Data Engineer

Doraville, GA · On-site

$100K - $132K/yr

Lead Data Engineer Location: GA, Remote Duration: temp to perm Compensation: 60hr. to 70hr. Work ... Core Tools Databricks (Spark, Delta Lake, MLflow, Notebooks) Python & SQL Apache Spark (via ...

ACI Infotech

Lead Data Engineer

Atlanta, GA · On-site

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main ... Factory, Databricks, PySpark, Python and other related services. • Build data pipelines and ...

Krest Global Solutions

DATA Engineer GCP

Atlanta, GA

$58 - $60/hr

DATA Engineer - GCP Work Time Zone: EST Rate: $58-60/hour on 1099/C2C Location: Atlanta, GA (Hybrid ... Snowflake, Databricks or other modern platforms * Soft Skills: * Strong communication and ...

ACI Infotech

Lead Data Engineer

Atlanta, GA · On-site

$98K - $129K/yr

Requirements:** - Expert years of hands-on experience in Data Engineering across On-Premises and Cloud-based platforms. - Proficiency in Azure Data Factory, Databricks, PySpark, Python, and ...

Primerica

Sr Data Engineer

Duluth, GA · Hybrid

$130K - $135K/yr

Hands-on data engineering experience with Databricks, preferably within the AWS ecosystem ... Advanced understanding of the Databricks platform, including notebook development, workflow/job ...

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All JobsDatabricks Data Engineer JobsCommission Databricks Data Engineer JobsCommission Databricks Data Engineer Jobs in Georgia

Commission Databricks Data Engineer information

What is the difference between Commission Databricks Data Engineer vs Commission Data Engineer?

AspectCommission Databricks Data EngineerCommission Data Engineer
CertificationsDatabricks certifications, cloud platform credentialsGeneral data engineering certifications, cloud platform credentials
Work EnvironmentPrimarily on Databricks platform, cloud-basedVarious cloud platforms, on-premises or cloud
Industry UsageTech, finance, healthcare with Databricks adoptionBroad industry, including finance, retail, healthcare

The Commission Databricks Data Engineer specializes in working with Databricks platform for data processing and analytics, often requiring Databricks-specific certifications. In contrast, the Commission Data Engineer has a broader scope, working across multiple platforms and environments. Both roles involve building data pipelines and managing data workflows, but the Databricks-focused role emphasizes expertise in Databricks tools and cloud integrations.

What are the most commonly searched types of Databricks Data Engineer jobs in Georgia? The most popular types of Databricks Data Engineer jobs in Georgia are:
What cities in Georgia are hiring for Commission Databricks Data Engineer jobs? Cities in Georgia with the most Commission Databricks Data Engineer job openings:
Commission Databricks Data Engineer jobs near you
Sr Data Engineer

Sr Data Engineer

ACI Infotech

Atlanta, GA • On-site

$110K - $132K/yr

Other

Re-posted 6 days ago

Job description

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role)
Location: Atlanta, GA
Duration: FULL TIME / C2H
Mode: Hybrid ( 3 days a Week)
This Data Engineering Lead (Marketing) position is part of Client IT's Marketing Technology team focused on enabling the development and roll-out of world-class modern Marketing Data Engineering capabilities at Client. This role partners with teams responsible for Marketing and Digital Guest Engagement platforms that leverage world-class technology to create personalized, relevant, data-driven experiences. In this role, you will lead teams designing and building Data & BI solutions that capture, explore, transform, and utilize curated data to support Marketing Business Unit's Data-driven transformation journey and decision-making process. In addition to leading the design and implementation of data products, you will also mentor and develop a team of contingent worker data engineers onsite and offshore.
Duties and Responsibilities: (Scope of the role, day to day activities, expected outcomes, highlights any complexities associated with the role)
Thought Leadership (20%)
Provides industry thought leadership to fellow team members across business and technical project dimensions, solving complex business requirements.
Proactively considers the future state of the organization and how technology can support these efforts.
Advocates and define Marketing Data Engineering vision from a strategic perspective, including internal and external platforms, tools, and systems.
Maintains overall MarTech industry Data knowledge on latest trends, technology, etc.
Mentoring (20%) Manage and lead a technical team responsible for data engineering and analysis.
focusing on individual's professional development as well as overall team health and technical proficiency on their assigned project tasks.
Conducts product work reviews with team members.
Serves in the development of team members by actively facilitating new learning opportunities and experiences in the Data Engineering space.
Development (20%)
Design and implement scalable data solutions on Azure platform using Data Factory, Databricks, PySpark, Python and other related services.
Build data pipelines and workflows to ingest, transform, and load data from various sources.
Develop and maintain data models and schemas for efficient data storage and retrieval.
Develop and maintain CI/CD pipelines for automated deployment and testing of data solutions. Lead development and production deployment of analytic Data and BI products (also potentially pilots and proof of concepts), determining appropriate design strategies and methodologies.
Collaborations (20%)
Collaborate and maintain relationships with cross-functional teams (Cloud Infra, Enterprise Data & IT-SEC) to ensure data solutions meet business requirements.
Continuously evaluate and recommend new data technologies and approaches to improve data solutions.
Develop business partnerships and influence priorities by identifying solutions that are aligned with current business objectives and closely follow industry trends; understanding how to apply them and sharing knowledge with coworkers.
Communicate with partners, describing technology concepts in ways the business can understand, documenting initiatives in a concise and clear manner.
Partner with Enterprise Data management & information security colleagues to ensure the adherence of Data Governance standards for Client.
Data Engineering Lead (Marketing)
Delivery Management (20%)
Find creative solutions to challenging problems involving factors with potentially broad implications; reflecting on solutions, measuring impact, and using that information to ideate and optimize.
Execute data strategies with an understanding of enterprise architecture, consumption patterns, platforms and application infrastructure.
Stay ahead of the impediments to ensure a smooth, on time and in budget, implementation of Data Projects
Collect weekly status updates from Dev teams across multiple Data POD teams and consolidate for leadership project health reporting.
Work Experience/ Education: (Required work experience and education / preferred experience and education that is beneficial to the role. Work experience can include management experience or any functional expertise where proficiency is necessary to be successful in the role)
Bachelor's degree in computer science, Information Technology or a related study, or equivalent experience
5+ years of hands-on Data Engineering experience with On-Prem and Cloud based Data tools/Platforms,
3+ years of experience in data engineering with expertise specifically in Azure Data Factory, Databricks, PySpark, Python and related services.
Proven experience in leading and managing technical teams in data engineering and analysis.
Experience in designing and developing data models and schemas.
Strong proficiency in programming languages such as Python.
Experience in developing and maintaining CI/CD pipelines for automated deployment and testing.
Good understanding of cloud computing and its services (e.g., Azure, AWS, Google Cloud Platform).
Excellent problem-solving skills and ability to work in a fast-paced environment.
Experience with the some of the following concepts: Real-time & Batch Data Processing, Workload Orchestration, Cloud, Data lakes, Data Security, Networking, Serverless, Testing / Test Automation (Unit, Integration, Performance, etc.), WebServices, DevOps, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization
Skilled leading and/or participating in system design and architectural activities including technical requirement writing experience and ability to lead collaboration sessions for important design reviews and decisions.
Proven experience succeeding in complex, matrix and cross-functional projects
Ability to personally deliver large scale initiatives in a fast-paced environment with high levels of complexity and ambiguity
Experience and comfort managing indirect teams; scrums, agile cross functional teams, vendor stakeholders
Strong collaboration skills and the ability to work in a team-based environment including employees, vendors and third-party contractors
Ability to inspire, influence and collaborate across a wide range of constituents across functions and organizational levels
Excellent mentoring skills and the desire to contribute to efforts beyond the scope of the day-to-day project work
Excellent written, presentation and oral communication skills
Knowledge of technical architecture as a role discipline
Good to have, but not mandatory:
Experience working with Loyalty Management data, and other Marketing business processes data
Experience with Campaign Management, Customer Data Platforms, Content Management, Advertising Technology, Personalization Engines as a Solution, etc., Tech Skills:
Data Engineering Lead (Marketing)
Microsoft Azure Cloud: Azure Data Factory, APIM, Function Apps, Logic Apps, Key Vault, Azure App Insights, Azure SQL, Azure DevOps
Databases: Azure SQL, Databricks, MongoDB,
DevOps: GitHub, Azure DevOps, CI/CD Pipelines
Programming Languages: SQL, PYTHON, SCALA, R
API Development: Azure APIM, REST APIs, web services, security such as Oauth2, SAML, IDM, open API standards like swaggers, RAML, developer portal,
API Testing: Postman,
Log Analytics: Splunk, Dynatrace
Web/Mobile App Analytics: Google Analytics, Firebase, Google Tag management
Architecture modeling: Lucid Chart, Visio, ARIS, etc.,
Software development Experience using SaFe Agile methodologies.

ACI (Advanced Computing International) is a Global Technology Services, Products & Solutions Company focused on designing and delivering the next generation applications and digital experiences for businesses and consumers. We specialize in Big Data & Analytics, Digital Transformation, IT Service Management, Cognitive Solutions, Artificial Intelligence, IOT & Future Networks, DevOps, Enterprise Applications & Managed Infrastructure Services & Industry Specific Solutions.

Leveraging the insights gained from working on innovative solutions and disruptive technologies, ACI develops Solutions to enhance business performance, accelerate product & applications time-to-market, harmonize Consumer Experiences and streamline their business operations. ACI works with clients across different business sectors: Financial Services, Healthcare, Manufacturing, Hi-Tech, Media, Utilities, Public sector, Retail, Telecom, E-commerce & Logistics, and Higher Education. ACI s core DNA is built on Innovation and co-existence to build a collaborative ecosystem where companies and consumers win.

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