Technical Architect
Plano, TX · On-site
$110K - $130K/yr
... Feed (CDF) o schema evolution & enforcement o ACID transaction handling • Build reusable ... distributed computing. o Kafka producer/consumer design, schema registry, streaming ETLs. o Hadoop ...
Technical Architect
Plano, TX · On-site
$110K - $130K/yr
... Feed (CDF) o schema evolution & enforcement o ACID transaction handling • Build reusable ... distributed computing. o Kafka producer/consumer design, schema registry, streaming ETLs. o Hadoop ...
Engineer
Addison, TX · On-site
$80K - $90K/yr
... Feed (CDF) o schema evolution & enforcement o ACID transaction handling • Build reusable ... distributed computing. o Kafka producer/consumer design, schema registry, streaming ETLs. o Hadoop ...
Engineer
Addison, TX · On-site
$80K - $90K/yr
... Feed (CDF) o schema evolution & enforcement o ACID transaction handling • Build reusable ... distributed computing. o Kafka producer/consumer design, schema registry, streaming ETLs. o Hadoop ...
Cdf Distributors information
What are the typical daily responsibilities of a Sales Representative at CDF Distributors?
A Sales Representative at CDF Distributors typically spends their day managing customer inquiries, preparing and sending quotes for commercial doors and hardware, and following up with clients to ensure satisfaction. They also collaborate closely with the operations and fulfillment teams to track orders and address any delivery issues. Maintaining product knowledge and staying updated on inventory is important, as is building strong relationships with both new and returning customers to drive repeat business.
What are the key skills and qualifications needed to thrive as a Commercial Door Distributor (CDF Distributors), and why are they important?
To thrive as a Commercial Door Distributor, you need strong knowledge of building materials, sales acumen, and an understanding of construction project requirements, often supported by experience in the construction supply industry. Familiarity with inventory management systems, quoting software, and CRM platforms is typically required. Exceptional communication, attention to detail, and problem-solving abilities help build lasting client relationships and manage complex orders. These competencies are crucial for ensuring accurate product delivery, customer satisfaction, and business growth in a competitive market.
What are CDF Distributors?
CDF Distributors is a company that specializes in supplying commercial doors, frames, and hardware. They offer a wide range of steel, wood, and commercial doors, as well as accessories for various building needs. CDF Distributors is known for providing quick shipping, online ordering, and customizable options for contractors, builders, and property managers. Their services cater to new construction and renovation projects across the United States.
What is the difference between Cdf Distributors vs Cdf Sales Representatives?
| Aspect | Cdf Distributors | Cdf Sales Representatives |
|---|---|---|
| Credentials | Typically requires distributor licenses, business registration, and industry-specific knowledge | Often needs sales certifications, product knowledge, and communication skills |
| Work Environment | Operate independently or with small teams, managing distribution channels | Engage directly with clients, conduct sales calls, and promote products |
| Employer & Industry Usage | Used by companies to distribute products through authorized channels | Used by companies to directly sell products to customers or retailers |
In summary, Cdf Distributors focus on managing distribution channels and logistics, often working independently, while Cdf Sales Representatives primarily engage in direct sales and customer interactions. Both roles require industry knowledge but differ in daily tasks and work environment.
What are popular job titles related to Cdf Distributors jobs in Texas? For Cdf Distributors jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Cdf Distributors jobs in Texas look for? The top searched job categories for Cdf Distributors jobs in Texas are:
$120K - $130K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 16 days ago
Job description
Must Have Technical/Functional Skills
Primary skills: PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture, Delta Lake, Bronze/Silver/Gold Data Modeling, Big Data ETL Pipeline Development, SQL, Real-time Data Ingestion Frameworks, Data Governance & Cataloging, CI/CD Tools Git, Jenkins, Bitbucket, Workflow Orchestration, and Cloud & On-Prem Big Data Platforms.
Experience: Minimum 10+ years
Roles & Responsibilities
Seeking a Senior Big Data Engineer with 1013 years of experience specializing in Hadoop, PySpark, Kafka, Hive, and strong experience designing data solutions for large-scale financial systems.
In addition, the candidate must possess advanced expertise in Databricks Lakehouse architecture, particularly around Bronze/Silver/Gold layer data modeling, Delta Lake optimizations, and building reliable, scalable pipelines for regulatory, risk, trading, and analytics workloads.
This role focuses on delivering highly performant, well-governed data platforms that support the banks mission-critical global markets functions.
Key Responsibilities:
Big Data Platform Engineering
• Design, develop, and optimize PySpark-based ETL pipelines running on on-prem Hadoop clusters and cloud environments.
• Build high-volume ingestion frameworks using Kafka for real-time and near-real-time trading and market data.
• Develop, tune, and manage Hadoop ecosystem componentsHDFS, YARN, MapReduce, Tez, Oozie/Airflow.
• Build high-performance, optimized Hive data models for regulatory reporting, trade lifecycle, and market risk processing.
Databricks Lakehouse & Delta Framework
• Architect and implement Bronze/Silver/Gold layer modeling patterns within the Databricks Lakehouse.
• Apply Delta Lake best practices including:
o optimized file management
o Z-Ordering
o Delta Change Data Feed (CDF) o schema evolution & enforcement o ACID transaction handling
• Build reusable frameworks for ingestion, cleansing, transformation, and consumption of data across Lakehouse layers.
• Enable governance, lineage, and auditability using Unity Catalog or equivalent cataloging tools.
Collaboration, Leadership & Delivery
• Collaborate closely with quants, product owners, architects, risk tech, and business users.
• Participate in agile ceremonies sprint planning, refinement, design reviews.
• Mentor junior engineers and contribute to building strong engineering practices across tech teams.
Required Skills & Experience
• 1013 years of hands-on experience in Big Data engineering.
• Expert skills in:
o PySpark dataframe optimizations, partitioning, broadcast strategies, distributed computing.
o Kafka producer/consumer design, schema registry, streaming ETLs.
o Hadoop ecosystem HDFS, YARN, MapReduce/Tez, Oozie/Airflow.
o Hive advanced query tuning, TEZ optimization, partition/bucket management.
• Extensive hands-on experience with Databricks Lakehouse, including:
o Bronze/Silver/Gold layer modeling
o Delta Lake optimizations
o Data quality frameworks on Lakehouse
o Structured & unstructured data handling
• Experience in Global Markets, Risk, Treasury, Trade Surveillance, or Regulatory Reporting.
• Strong SQL knowledge with experience working on massive datasets (TB/PB scale).
Experience with CI/CD practices Git, Jenkins, Bitbucket, build pipelines.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $120,000- 130,000 a year
Primary skills: PySpark, Apache Kafka, Hadoop Ecosystem, Hive, Databricks Lakehouse Architecture, Delta Lake, Bronze/Silver/Gold Data Modeling, Big Data ETL Pipeline Development, SQL, Real-time Data Ingestion Frameworks, Data Governance & Cataloging, CI/CD Tools Git, Jenkins, Bitbucket, Workflow Orchestration, and Cloud & On-Prem Big Data Platforms.
Experience: Minimum 10+ years
Roles & Responsibilities
Seeking a Senior Big Data Engineer with 1013 years of experience specializing in Hadoop, PySpark, Kafka, Hive, and strong experience designing data solutions for large-scale financial systems.
In addition, the candidate must possess advanced expertise in Databricks Lakehouse architecture, particularly around Bronze/Silver/Gold layer data modeling, Delta Lake optimizations, and building reliable, scalable pipelines for regulatory, risk, trading, and analytics workloads.
This role focuses on delivering highly performant, well-governed data platforms that support the banks mission-critical global markets functions.
Key Responsibilities:
Big Data Platform Engineering
• Design, develop, and optimize PySpark-based ETL pipelines running on on-prem Hadoop clusters and cloud environments.
• Build high-volume ingestion frameworks using Kafka for real-time and near-real-time trading and market data.
• Develop, tune, and manage Hadoop ecosystem componentsHDFS, YARN, MapReduce, Tez, Oozie/Airflow.
• Build high-performance, optimized Hive data models for regulatory reporting, trade lifecycle, and market risk processing.
Databricks Lakehouse & Delta Framework
• Architect and implement Bronze/Silver/Gold layer modeling patterns within the Databricks Lakehouse.
• Apply Delta Lake best practices including:
o optimized file management
o Z-Ordering
o Delta Change Data Feed (CDF) o schema evolution & enforcement o ACID transaction handling
• Build reusable frameworks for ingestion, cleansing, transformation, and consumption of data across Lakehouse layers.
• Enable governance, lineage, and auditability using Unity Catalog or equivalent cataloging tools.
Collaboration, Leadership & Delivery
• Collaborate closely with quants, product owners, architects, risk tech, and business users.
• Participate in agile ceremonies sprint planning, refinement, design reviews.
• Mentor junior engineers and contribute to building strong engineering practices across tech teams.
Required Skills & Experience
• 1013 years of hands-on experience in Big Data engineering.
• Expert skills in:
o PySpark dataframe optimizations, partitioning, broadcast strategies, distributed computing.
o Kafka producer/consumer design, schema registry, streaming ETLs.
o Hadoop ecosystem HDFS, YARN, MapReduce/Tez, Oozie/Airflow.
o Hive advanced query tuning, TEZ optimization, partition/bucket management.
• Extensive hands-on experience with Databricks Lakehouse, including:
o Bronze/Silver/Gold layer modeling
o Delta Lake optimizations
o Data quality frameworks on Lakehouse
o Structured & unstructured data handling
• Experience in Global Markets, Risk, Treasury, Trade Surveillance, or Regulatory Reporting.
• Strong SQL knowledge with experience working on massive datasets (TB/PB scale).
Experience with CI/CD practices Git, Jenkins, Bitbucket, build pipelines.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $120,000- 130,000 a year