Role Description As a Data Engineer, you will be engaged from the first client conversation all the way through to delivery — gathering requirements, designing the solution, and seeing it through to completion. - Design, construct, install, test, and maintain highly scalable data management systems and robust data pipelines. - Ensure data quality, reliability, and accessibility for our AI/ML engineers and LLM applications, leveraging cloud platforms and modern data engineering practices, including workflow orchestration. - Design, build, and optimize scalable ETL/ELT data pipelines using Python and cloud-native tools (on AWS, Azure, or GCP). - Develop data models and schemas optimized for analytical and AI/ML workloads. - Implement data quality checks and monitoring frameworks. - Manage and administer data warehouses, data lakes, and databases (SQL/NoSQL). - Implement and manage workflow orchestration tools (e.g., Airflow, Prefect, Dagster) for scheduling and monitoring data pipelines. - Collaborate closely with AI/ML Engineers and LLM Engineers to understand their data requirements. - Ensure data security and compliance standards are met. - Optimize data storage and processing costs on Hyperscaler platforms. - Write efficient and maintainable Python code for data processing tasks. - Work independently to troubleshoot and resolve data-related issues. Qualifications - Strong proficiency in Python for data manipulation and pipeline development (e.g., Pandas, PySpark). - Expertise in SQL and experience with relational and NoSQL databases. - Hands-on experience with cloud-based data services on at least one Hyperscaler (e.g., AWS S3/Glue/Redshift, Azure Data Factory/Synapse, GCP Cloud Storage/Dataflow/BigQuery). - Experience building and managing data pipelines and ETL/ELT processes. - Familiarity with data warehousing concepts and data modeling. - Understanding of data quality principles. - Ability to work independently and take ownership of data infrastructure components. How to Apply - Share your philosophy on developing data infrastructure, the methodologies you utilize, and provide concrete examples of data systems you've built that have delivered tangible results. - Tell us why you are interested to join Suzega. What Happens Next - We will review applications. - If shortlisted, you'll participate in two virtual interviews with our Trusted Interviewers. - You will have to go through a coding interview. - We will aim to complete our selection process within two weeks and notify you of our decision. Benefits - Please review the Benefits & Perks section in our Team Member Handbook for comprehensive information. Location Work from anywhere in India.

Role Description This is a remote position. KATBOTZ is seeking an experienced Databricks SME to support enterprise-level data engineering and analytics initiatives. The ideal candidate will have deep expertise in the Databricks ecosystem, big data technologies, cloud platforms, and modern data architecture. The candidate will work closely with cross-functional teams to design, optimize, and implement scalable data solutions for global clients. - Lead the design, development, and optimization of Databricks-based data platforms and pipelines. - Provide technical expertise on Databricks architecture, performance tuning, and best practices. - Build scalable ETL/ELT workflows using Apache Spark and Databricks. - Collaborate with business stakeholders, architects, and engineering teams to gather requirements and deliver solutions. - Implement Delta Lake, data governance, and data quality frameworks. - Support migration of legacy data platforms to Databricks. - Optimize data processing workflows for performance and cost efficiency. - Mentor development teams on Databricks, Spark, and cloud-native solutions. - Troubleshoot production issues and provide timely resolutions. - Ensure adherence to security, compliance, and coding standards. Qualifications - 10+ years of experience in Data Engineering and Big Data technologies. - Strong hands-on expertise in Databricks and Apache Spark. - Experience with Python, PySpark, SQL, and Scala. - Expertise in Delta Lake, Unity Catalog, and Databricks Workflows. - Strong understanding of data warehousing and modern lakehouse architecture. - Experience with cloud platforms such as Microsoft Azure, Amazon AWS, or Google GCP. - Experience integrating Databricks with BI and reporting tools. - Knowledge of CI/CD pipelines and DevOps practices. - Strong analytical and problem-solving skills. - Excellent communication and stakeholder management abilities. Preferred Qualifications - Databricks Certified Professional certification. - Experience in real-time streaming using Kafka or Structured Streaming. - Exposure to AI/ML workflows within Databricks. - Prior experience working with global remote teams. Benefits - Competitive compensation package. - Opportunities for professional development and career advancement. - Flexible working conditions, with remote options available. - Dynamic and supportive work environment. Company Description KATBOTZ LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants.

Role Description This is a remote position. KATBOTZ are looking for an experienced Data SME (Subject Matter Expert) to support enterprise data initiatives and provide strategic guidance on data management, analytics, reporting, and modern data solutions. The ideal candidate should possess strong expertise in data architecture, data governance, data quality, and business intelligence while working closely with technical and business stakeholders across global teams. - Act as a Subject Matter Expert for enterprise data platforms, processes, and reporting solutions. - Analyze business requirements and translate them into scalable data solutions. - Design and optimize data models, ETL/ELT pipelines, and reporting frameworks. - Ensure data accuracy, consistency, governance, and compliance standards are maintained. - Collaborate with engineering, analytics, and business teams to improve data accessibility and usability. - Support data migration, integration, cleansing, and transformation initiatives. - Create documentation, process flows, and best practices for data operations. - Assist in troubleshooting data-related issues and performance bottlenecks. - Provide insights and recommendations to improve data strategy and operational efficiency. - Mentor team members and support knowledge-sharing initiatives. Qualifications - 5+ years of experience in Data Management, Data Analytics, or Data Engineering. - Strong expertise in SQL, data analysis, and reporting tools. - Experience working with large-scale data environments and cloud platforms. - Knowledge of ETL/ELT processes and data integration methodologies. - Familiarity with data warehousing concepts and modern data architecture. - Experience with tools/platforms such as Microsoft Azure, Amazon AWS, Google GCP, Snowflake, or Databricks is preferred. - Strong understanding of data governance and data quality frameworks. - Excellent analytical, communication, and stakeholder management skills. - Ability to work independently in a remote environment. Preferred Qualifications - Experience with BI tools such as Power BI, Tableau, or Looker. - Exposure to Python or other scripting languages for data processing. - Experience supporting global clients and distributed teams. - Relevant certifications in cloud or data technologies are a plus. Benefits - Competitive compensation package. - Opportunities for professional development and career advancement. - Flexible working conditions, with remote options available. - Dynamic and supportive work environment. Company Description KATBOTZ LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants.

Role Description Is seeking a detail-oriented and reliable Virtual Assistant to support a short-term e-commerce data collection project. This role involves following a simple but highly repetitive process to gather information from e-commerce websites by subscribing to newsletters and accurately recording the required data. This is an execution-focused role requiring strong attention to detail, consistency, and the ability to follow instructions precisely. While the task itself is straightforward, accuracy and efficiency are essential. Qualifications - Strong attention to detail - Ability to follow SOPs and step-by-step instructions - High level of accuracy in copy-paste and repetitive tasks - Basic web navigation skills - Strong organizational skills - Dependable and self-managed work style - Ability to work independently after training Requirements - Access a provided list of e-commerce websites - Navigate through websites and locate newsletter subscription forms - Scroll through pages and identify newsletter sign-up sections - Subscribe to newsletters using a provided process/workflow - Copy and paste required information accurately - Follow a documented step-by-step process provided by the client - Maintain consistency across all website submissions - Track completed websites and update progress records - Ensure no duplicate work or missed entries - Follow project instructions precisely - Report progress and completion updates as needed Benefits - Flexible hours; estimated 10–30 hour package depending on project completion needs - Short-term engagement; estimated duration of approximately 1–2 weeks - Potential start date: ASAP Training - Client will provide a list of target websites - Step-by-step workflow/process - Instructions and onboarding guidance