Qualifications
Key Responsibilities: Lead and oversee data engineering projects from inception to deployment, ensuring stakeholder alignment. Design, develop, and maintain scalable data pipelines to facilitate data ingestion, transformation, and storage. Collaborate with data scientists and analysts to fulfill data requirements and provide technical guidance on industry best practices. Implement and monitor data quality and integrity standards. Leverage cloud-based data platforms, especially Azure, to improve data accessibility and usability. Mentor and support junior team members in data engineering concepts and methodologies. Identify and implement process enhancements to boost efficiency, scalability, and performance. Qualifications: Minimum of 8 years of experience in data engineering, demonstrating a proven ability to deliver scalable data solutions. Deep familiarity with cloud platforms, particularly Azure, and data processing technologies such as Databricks and Spark. Strong programming skills in languages such as Python and SQL. Experience in data modeling, ETL processes, and data warehousing. Understanding of machine learning principles and the integration of ML models into data pipelines is advantageous. Exceptional communication skills and a collaborative mindset to work effectively with cross-functional teams. Strong analytical and problem-solving capabilities with attention to detail.
About the job
Tiger Analytics is at the forefront of revolutionizing analytics through cutting-edge technology and innovative solutions tailored for our clients. As a premier advanced analytics consulting firm, we collaborate with organizations to harness their data effectively, driving significant business results. With a robust emphasis on artificial intelligence and data science, we empower Fortune 100 companies to unlock the full potential of their data with scalable and efficient engineering solutions.
We are excited to announce an opportunity for a Data Engineering Lead to guide our data initiatives. In this pivotal role, you will design and implement data engineering projects, ensuring a robust data architecture while leading a team of engineers to deliver high-quality data solutions. You will work in close collaboration with cross-functional teams to guarantee that our data strategies align seamlessly with business objectives and yield actionable insights.
About Tiger Analytics
At Tiger Analytics, we pride ourselves on being leaders in advanced analytics consulting, working with top-tier organizations to transform their data into actionable insights. Our commitment to innovation and excellence enables us to deliver tailored solutions that drive substantial business success.