4 Stitch Jobs

Manpower handling Knowledge of Single Needle Stitching Machine,Overlock,Flat Lock,Barteck,Button Snap, Double Needle Stitching machines&machine's process parameters setting (Juki/Pegasus/Duke/Jack make machine) Knowledge of Harness Cutting Machines Required Candidate profile Knowledge of different Fabric,PP sheet,Foam & leather cutting & stitching Stitching defects &root cause analysis Stitching Line balancing&cycle time study Daily production&rejection report preparation

Tecovas is looking for an AnalyticsEngineer to joinour growing and dynamic Data Team. This position will play an integral role in democratizing data access and use across all departments at Tecovas. Reporting to the Director of Data, you will be helping to build out the companys Data pipelines, Data Warehouse, and other Data products and play a key role in ensuring Tecovas has a best in class data practice. This candidate is strongly encouraged to work from our HQ office in Austin, TX with the ability to work remotely on other days. What youll do: Develop and maintain data models using dbt ensuring a single source of truth Data Warehouse Coordinate cross functionally to ensure business logic and metrics are accurately captured and aligned Collaborate with Data Science, Analytics, Core Systems and the rest of the Tech team to support advanced data projects Advance data monitoring, security, and compliance efforts to align with modern best practices Improve data infrastructure using software engineering best practices; data testing, observability, orchestration Improve internal tech documentation and business facing documentation / data dictionary Develop and support Data Science and Advanced Analytics pipelines with creative and unique analytics engineering solutions Experience were looking for: Bachelor's degree in computer science, engineering, or a related field 5+ years of experience as a data engineer, analytics engineer, or similar role Expertise with dbt Expertise with modern Data Engineering best practices including CDC, observability, quality testing, and performance and cost optimization Strong experience with Python, SQL, Git Experience with Fivetran, Stitch, or other ETL/ELT tools Familiarity with cloud-based platforms like BigQuery, Airflow, or other tools (GCP preferred, but equivalent experience is welcome). Excellent interpersonal and communication skills What you bring to the table: You are highly organized and a self-starter. You feel confident working in a fast-paced environment. You are able to quickly learn new systems and implement new procedures. You can easily collaborate with cross-functional partners. You have a positive attitude and are motivated by a challenge.

Tecovas is the first direct-to-consumer western brand, founded with the simple goal of making the worlds best western boots, apparel and leather goods - and selling them at a fair price. We are a brand revolutionizing a category and welcoming first-time boot buyers and western enthusiasts alike. Tecovas is looking for a SeniorData Engineer to joinour growing and dynamic Data Team. This position will play an integral role in democratizing data access and use across all departments at Tecovas. Reporting directly to the Director of Data, you will be helping to build out the companys Data pipelines, Data Warehouse, and other Data products and play a key role in ensuring Tecovas has a best in class data practice. This candidate is strongly encouraged to work from our HQ office in Austin, TX with the ability to work remotely on other days. What youll do: Develop and maintain scalable and efficient ELT pipelines to gather and store data across all departments at Tecovas Coordinate cross functionally to ensure all relevant data is captured for analysis and reporting Collaborate with Data Science, Analytics, Core Systems and the rest of the Tech team to support advanced data projects Assist in maintaining and improving data transformation models in dbt Advance data monitoring, security, and compliance efforts Manage Airflow, Cloud Functions, and other cloud infrastructure to ensure cost effective solutions with minimal downtime Improve internal tech documentation and business facing documentation / data dictionary Develop and support Data Science and Advanced Analytics pipelines with creative and unique data engineering solutions Experience were looking for: Bachelor's degree in computer science, engineering, or a related field 5+ years of experience as a data engineer, data scientist, or data analyst Expertise with modern Data Engineering best practices including CDC, observability, quality testing, and performance and cost optimization Strong experience with Python, SQL, Git Strong Experience with dbt Experience with Fivetran, Stitch, or other ETL/ELT tools Experience with BigQuery, Airflow, and other cloud based engineering tools. We use GCP butother relevant experience will be considered Excellent interpersonal and communication skills What you bring to the table: You are highly organized and a self-starter. You feel confident working in a fast-paced environment. You are able to quickly learn new systems and implement new procedures. You can easily collaborate with cross-functional partners. You have a positive attitude and are motivated by a challenge.

Role & responsibilities Design, develop, and maintain robust and scalable data pipelines using modern ETL/ELT tools and techniques. Implement and manage data orchestration tools such as DBT, Fivetran, Stitch, or Matillion. Build and optimize data models for various analytical and reporting needs. Ensure data quality and integrity through rigorous testing and validation. Monitor and troubleshoot data pipelines and infrastructure, proactively identifying and resolving issues. Collaborate with data scientists and analysts to understand their data requirements and provide support. Stay up-to-date with the latest data engineering trends and technologies. Contribute to the development and improvement of our data engineering best practices. Mentor junior data engineers and provide technical guidance. Participate in code reviews and contribute to a collaborative development environment. Document data pipelines and infrastructure for maintainability and knowledge sharing. Contribute to the architecture and design of our overall data platform. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 7+ years of proven experience as a Data Engineer, preferably in a fast-paced environment. Deep understanding of data warehousing concepts and best practices. Hands-on experience with at least one data orchestration tool (DBT, Fivetran, Stitch, Matillion). Proficiency in SQL and extensive experience with data modeling. Experience with cloud-based data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Experience with programming languages like Python or Scala is highly preferred.