Data Engineer Team Lead

Job Description: We are looking at candidates with overall experience of 5-8 years with 1-3 years of strong experience in Python and SQL. Key Responsibilities: Advanced Data Analysis: Perform deep-dive data analysis using SQL, Python, and R to uncover trends, patterns, and actionable insights. Collaborate with stakeholders to translate business questions into analytical solutions. ETL & Dashboard Development: Design, build, and maintain automated ETL pipelines on GCP using tools like Dataflow, BigQuery, and Cloud Composer. Develop and deploy real-time dashboards using Looker, Data Studio, or other BI tools to support data-driven decision-making. Workflow Optimization: Identify and implement opportunities to streamline data workflows across cross-functional teams. Drive process improvements and automation to enhance data accessibility and reliability. High-Impact Delivery: Thrive in a fast-paced, high-impact environment, managing multiple priorities and delivering results under tight deadlines. Communicate findings and recommendations clearly to both technical and non-technical audiences. Required Skills & Qualifications: Proficiency in SQL for complex data querying and transformation. Intermediate experience with Python and R for data manipulation and statistical analysis. Hands-on experience with GCP services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Cloud Functions. Experience building automated ETL pipelines and working with streaming data. Familiarity with dashboarding tools like Looker, Tableau, or Google Data Studio. Strong problem-solving skills and ability to work independently and collaboratively. Excellent communication and stakeholder management skills. Preferred Qualifications: GCP certification (e.g., Professional Data Engineer). Experience with CI/CD pipelines and infrastructure as code (e.g., Terraform). Background in data science or machine learning is a plus.