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Associate Talend Data Integration Jobs in Georgia

The role requires extensive experience with Talend and Snowflake, focusing on data integration methodologies and cloud-based data platforms. Responsibilities : โ€ข 8+ years of experience in ETL/Data ...

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

We are seeking an experienced Data Engineer with expertise in Snowflake, Talend, SAS migration ... This role is ideal for a data professional who enjoys solving complex data integration challenges ...

Data Architect

Atlanta, GA ยท On-site

$61.25 - $78.75/hr

Data Architect ETL using Snowflake or Talend Key Responsibilities : Data Architecture & Strategy ... modeling, storage, integration, and consumption of marketing data Design scalable, modular ...

New

Create, service, and maintain data integrations using Qlik Talend Cloud - building and monitoring pipelines that move data between source systems, Snowflake, and downstream consumers. * Own data ...

New

Create, service, and maintain data integrations using Qlik Talend Cloud - building and monitoring pipelines that move data between source systems, Snowflake, and downstream consumers. * Own data ...

New

ETL Developer

Atlanta, GA ยท On-site

$49 - $64.25/hr

Design and develop Talend ETL/ELT jobs for enterprise data ingestion, transformation, and loading ... Strong enterprise data integration and release support experience preferred * Experience ...

Understanding of data Integration and processing principles (ETL - Extract, Transform, Load). ETL experience like Talend or any other tool is a plus * Strong technical expertise in master data ...

Data Engineer

Alpharetta, GA ยท Hybrid

$111K - $134K/yr

Data Integration & Ingestion * Design and implement data integration solutions in collaboration ... Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect). * Experience ...

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Associate Talend Data Integration information

What are some common challenges faced by an Associate Talend Data Integration professional, and how can they be addressed?

Associate Talend Data Integration professionals often encounter challenges such as troubleshooting complex data transformation errors, managing large volumes of data efficiently, and adapting to evolving data source requirements. To overcome these, it's important to develop a strong foundation in ETL best practices, actively collaborate with data architects and business analysts for clear requirements, and leverage Talend's documentation and community resources. Regularly reviewing data quality and maintaining clear documentation of processes can also help streamline troubleshooting and foster effective teamwork.

What are Associate Talend Data Integration professionals?

Associate Talend Data Integration professionals are entry-level specialists who work with Talend, a leading data integration platform. They are responsible for designing, developing, and managing ETL (Extract, Transform, Load) processes to move and transform data across various systems. Their role often includes data mapping, cleansing, and ensuring data quality, typically under the guidance of more experienced team members. These professionals help organizations leverage Talend's tools to streamline data workflows and enable better business insights. They may also assist in troubleshooting and performance tuning to optimize data integration solutions.

What is the difference between Associate Talend Data Integration vs Data Integration Specialist?

AspectAssociate Talend Data IntegrationData Integration Specialist
CredentialsBasic knowledge of Talend, relevant certificationsAdvanced certifications, experience with multiple tools
Work EnvironmentEntry-level projects, team collaborationComplex data environments, project leadership
Industry UsageEntry-level roles in data teams across industriesMid-level roles with broader responsibilities

The Associate Talend Data Integration role typically involves supporting data integration tasks using Talend, focusing on learning and executing predefined processes. In contrast, a Data Integration Specialist handles more complex projects, requires advanced skills, and often leads initiatives. The associate role is ideal for those starting in data integration, while the specialist position demands deeper expertise and experience.

What are the key skills and qualifications needed to thrive as an Associate Talend Data Integration specialist, and why are they important?

To thrive as an Associate Talend Data Integration specialist, you need a solid understanding of data integration concepts, ETL processes, and a degree in computer science or a related field. Familiarity with Talend Data Integration tools, SQL, and experience with databases or cloud platforms are typically required, and Talend certification is highly beneficial. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills ensure accurate data transformations, successful project delivery, and seamless collaboration with business and technical teams.
What are the most commonly searched types of Talend Data Integration jobs in Georgia? The most popular types of Talend Data Integration jobs in Georgia are:
What are popular job titles related to Associate Talend Data Integration jobs in Georgia? For Associate Talend Data Integration jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Associate Talend Data Integration jobs in Georgia look for? The top searched job categories for Associate Talend Data Integration jobs in Georgia are:
What cities in Georgia are hiring for Associate Talend Data Integration jobs? Cities in Georgia with the most Associate Talend Data Integration job openings:
Senior Data Modeler--- Atlanta, GA --F2F

Senior Data Modeler--- Atlanta, GA --F2F

HUMAC INC.

Atlanta, GA โ€ข On-site

Other

Posted 5 days ago

New


Job description

Senior Data Modeler
Work Location: Atlanta, GA --F2F
Contract duration: 6
**hybrid work set up** Job Details:
Must Have Skills
Data Modeling
ETL using Snowflake
Talend Data Modeling & Architecture
Design conceptual, logical, and physical data models for marketing platforms and customer data systems (e.g., CDP, CRM, campaign tools)
Build and maintain data schemas supporting customer 360, segmentation, attribution, and personalization
Develop scalable models for structured and semi-structured data (behavioral, transactional, demographic)
MarTech Integration Collaborate with engineering teams to integrate data across systems such as Snowflake (Enterprise Data Platform), Adobe Experience Cloud, Integrating Channels etc.
Define data flows and mapping between source systems, CDPs, and downstream Marketing activation and enablement apps
Ensure interoperability between marketing platforms and enterprise data ecosystems
Data Governance & Quality Establish data standards, naming conventions, and metadata management practices
Ensure data consistency, accuracy, and compliance (GDPR, CCPA where applicable)
Partner with data governance teams to maintain data lineage and documentation
Analytics Enablement
Required Qualifications
6+ years of experience in data modeling, data architecture, or analytics engineering
Strong expertise in:
Data modeling techniques (dimensional modeling, star/snowflake schemas, Data Vault)
SQL and database technologies (e.g., Snowflake, Redshift, Databricks, BigQuerry)
Hands-on experience with MarTech platforms (Adobe, Salesforce, Segment, etc.)
Experience working with large-scale datasets and cloud-based data platforms
Understanding of marketing data concepts (customer journeys, attribution, segmentation)
Preferred Qualifications Experience with Customer Data Platforms (CDPs)
Knowledge of real-time data processing (Kafka, streaming pipelines)
Familiarity with data transformation tools (Talend, Matillion, Snow SQL, dbt, Airflow)
Exposure to privacy and consent management frameworks
Experience with APIs and data integration patterns
Certification in cloud platforms (AWS, Azure, or Google Cloud Platform)
Key Skills Data modeling & database design
Marketing analytics understanding
Data integration and ETL/ELT
Problem-solving and critical thinking
Communication and stakeholder management

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Sirisha N