

Trellissoft Inc.
http://www.trellissoft.aiAbout
A pioneer in delivering world-class IT services for over 10 years in the industry. We help start-up and product companies in building innovative and award-winning products and modernizing their current technology products. Our services can help you right from developing product roadmaps to building unparalleled products to transform your business. We partner with multiple clients to simplify and solve their complex engineering challenges and deliver cost-effective and innovative solutions.
Tech stack

Candid answers by the company
TrellisSoft is a technology service provider founded in 2016 that specializes in AI solutions and digital transformation. With a team of 200+ experts globally, they help both startups and established companies build innovative products and modernize existing technology systems. Their core services include generative AI implementation, custom software development, and enterprise solutions, with particular expertise in healthcare, blockchain, fintech, and e-commerce sectors. TrellisSoft stands out for its comprehensive approach to technology services, combining AI innovation with practical business solutions. They offer everything from AI-powered contact center solutions to intelligent document processing, helping businesses automate workflows and enhance customer experiences. As a technology partner, they not only provide development services but also act as strategic consultants in their clients' digital transformation journeys.
Jobs at Trellissoft Inc.


We are seeking a skilled Data Engineer with at least 3 years of experience to join our team. The ideal candidate will be responsible for designing, developing, and maintaining data pipelines, optimizing data storage solutions, and ensuring efficient data processing. You will collaborate with data analysts, and software engineers to support business intelligence and machine learning initiatives.
Key Responsibilities:
- Design, develop, and maintain scalable ETL/ELT pipelines.
- Build and optimize data warehouses, data lakes, and real-time streaming solutions.
- Collaborate with cross-functional teams to define data requirements and ensure data accuracy and consistency.
- Develop and maintain database structures and schemas for efficient data storage and retrieval.
- Optimize data workflows for performance, reliability, and scalability.
- Implement data security, governance, and compliance best practices.
- Monitor, troubleshoot, and improve data pipelines to ensure uptime and reliability.
- Automate data-related processes to improve efficiency and reduce manual intervention.
Required Qualifications:
- 3 - 4 years of experience as a Data Engineer.
- Proficiency in SQL and database management (PostgreSQL, MySQL, SQL Server, etc.).
- Experience with ETL tools such as Pentaho, Talend, Cdata and SSIS
- Exposure to Python, Java, or Scala for data processing is a plus
- Experience / Familiarity with big data technologies such as Apache Spark, Hadoop, or Kafka.
- Familiarity with cloud services (AWS, Azure) and data storage solutions like S3, Redshift, Snowflake, or BigQuery.
- Knowledge of data modeling, warehousing concepts, and data architecture best practices.
- Experience working with APIs and data integration.
- Strong problem-solving skills and ability to work with large, complex datasets.
- Excellent communication skills
- Growth mindset and willingness to learn

We are seeking a skilled Data Engineer with at least 5 years of experience to join our team. The ideal candidate will be responsible for designing, developing, and maintaining data pipelines, optimizing data storage solutions, and ensuring efficient data processing. You will collaborate with data analysts, and software engineers to support business intelligence and machine learning initiatives.
Key Responsibilities:
- Design, develop, and maintain scalable ETL/ELT pipelines.
- Build and optimize data warehouses, data lakes, and real-time streaming solutions.
- Collaborate with cross-functional teams to define data requirements and ensure data accuracy and consistency.
- Develop and maintain database structures and schemas for efficient data storage and retrieval.
- Optimize data workflows for performance, reliability, and scalability.
- Implement data security, governance, and compliance best practices.
- Monitor, troubleshoot, and improve data pipelines to ensure uptime and reliability.
- Automate data-related processes to improve efficiency and reduce manual intervention.
Required Qualifications:
- 5+ years of experience as a Data Engineer.
- Proficiency in SQL and database management (PostgreSQL, MySQL, SQL Server, etc.).
- Experience with ETL tools such as Pentaho, Talend, CData and SSIS
- Exposure to Python, Java, or Scala for data processing is a plus
- Experience / Familiarity with big data technologies such as Apache Spark, Hadoop, or Kafka.
- Familiarity with cloud services (AWS, Azure) and data storage solutions like S3, Redshift, Snowflake, or BigQuery.
- Knowledge of data modeling, warehousing concepts, and data architecture best practices.
- Experience working with APIs and data integration.
- Strong problem-solving skills and ability to work with large, complex datasets.
- Excellent communication skills
- Solid mentoring or team leading experience desired

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