Data Engineer

Benefits: Dental insurance Health insurance Paid time off Training & development Vision insurance Rysun Labs (formerly KCS – Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises. Rysun guides and accelerates the AI & Data strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce, and Energy companies to outperform competition and lead the change in their industry. Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across US, UK, India & South Africa (a proud Level 2 B-BBEE Contributor). We are seeking a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and data platforms that support business intelligence, analytics, and data-driven decision-making. The ideal candidate will have strong experience in data engineering, cloud technologies, ETL/ELT development, and data warehousing, along with a passion for delivering high-quality data solutions. Job Title: Data Engineer Location: Houston Tx Experience: 4–7 Years Mandatory Certification: Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. Build and optimize data integration workflows from multiple data sources. Develop and manage data warehouses, data lakes, and cloud-based data platforms. Collaborate with Data Analysts, Data Scientists, Product Managers, and business stakeholders to understand data requirements. Ensure data quality, integrity, governance, and security across enterprise systems. Optimize SQL queries, database performance, and data processing workflows. Monitor and troubleshoot data pipeline issues and implement performance improvements. Support reporting, analytics, and machine learning initiatives by providing reliable datasets. Implement data validation, monitoring, and automation processes. Participate in Agile development processes and technical design discussions. Required Skills & Experience 4–7 years of experience in Data Engineering or related roles. Strong expertise in SQL and database design concepts. Hands-on experience with ETL/ELT tools and data integration frameworks. Experience with cloud platforms such as AWS, Azure, or GCP. Strong knowledge of Data Warehousing, Data Modeling, and Data Lake architectures. Proficiency in Python, PySpark, or Scala for data processing. Experience with Big Data technologies such as Spark, Databricks, Hadoop, or Kafka. Knowledge of CI/CD, version control (Git), and automation best practices. Strong analytical, problem-solving, and communication skills. Preferred Qualifications Experience with Databricks, Snowflake, Redshift, Synapse, or BigQuery. Familiarity with data governance, metadata management, and data quality frameworks. Exposure to real-time data processing and streaming technologies. Experience working in Agile/Scrum environments. #J-18808-Ljbffr