As a Technical Lead with over 8 years of experience in Data Engineering, Analytics, and Python development, including at least 3 years in a Technical Lead / Project Management role, you will play a crucial role in driving data engineering and analytics projects for our clients. Your client-facing skills will be essential in ensuring successful project delivery and effective communication between technical and business stakeholders. Your responsibilities will include designing and implementing secure, scalable data architectures on cloud platforms such as AWS, Azure, or GCP. You will lead the development of cloud-based data engineering solutions covering data ingestion, transformation, and storage while defining best practices for integrating diverse data sources securely. Overseeing security aspects of integrations and ensuring compliance with organizational and regulatory requirements will be part of your role. In addition, you will develop and manage robust ETL/ELT pipelines using Python, SQL, and modern orchestration tools, as well as integrate real-time streaming data using technologies like Apache Kafka, Spark Structured Streaming, or cloud-native services. Collaborating with data scientists to integrate AI models into production pipelines and cloud infrastructure will also be a key aspect of your responsibilities. Furthermore, you will work on advanced data analysis to generate actionable insights for business use cases, design intuitive Tableau dashboards and data visualizations, and define data quality checks and validation frameworks to ensure high-integrity data pipelines. Your expertise in REST API development, backend services, and integrating APIs securely will be crucial in developing and deploying data products and integrations. To excel in this role, you must have deep hands-on experience with cloud platforms, expertise in Python, SQL, Spark, Kafka, and streaming integration, proven ability with data warehousing solutions like BigQuery, Snowflake, and Redshift, and a strong understanding of integration security principles. Proficiency in data visualization with Tableau, REST API development, and AI/ML integration will also be essential. Preferred qualifications include prior experience managing enterprise-scale data engineering projects, familiarity with DevOps practices, and understanding of regulatory compliance requirements for data handling. Your ability to lead technical teams, ensure project delivery, and drive innovation in data engineering and analytics will be key to your success in this role.,
As a skilled BI Engineer, you will be responsible for designing, developing, and creating analytical solutions using MicroStrategy. Your key responsibilities will include: - Translating business requirements into BI solutions using MicroStrategy tools. - Writing complex SQL queries to extract, manipulate, and analyze data from various sources. - Creating complex reports, dashboards, and scorecards using MicroStrategy. - Developing and optimizing data warehouse solutions for efficient data storage and retrieval. - Collaborating with cross-functional teams to understand business requirements and deliver data solutions. - Ensuring data accuracy, consistency, and performance across reports and dashboards. - Automating reporting processes and improving data visualization techniques. - Troubleshooting data issues and optimizing queries for better performance. - Collaborating with business teams to understand reporting needs and translating them into visual insights. - Working closely with business analysts, data engineers, and stakeholders to gather requirements and ensure solutions meet business needs. To qualify for this role, you should have: - A bachelor's degree in computer science or a related field. - Over 6 years of expertise in MicroStrategy for dashboard and report development. - Strong knowledge of MicroStrategy Architecture, Desktop, Web, and Developer tools. - Proficiency in Tableau Desktop, Tableau Server, or Tableau Cloud. - At least 6 years of experience in BI engineering or data analytics. - Experience working with data warehousing concepts and technologies (Redshift, Snowflake, BigQuery, etc.). - Proficiency in SQL for querying and data manipulation. - Strong analytical and problem-solving skills. - Experience leading a team. - Experience facing clients based in the USA. Preferred qualifications include MicroStrategy certification to showcase additional expertise. Please note that the company's additional details were not provided in the job description.,