Sr Data Engineer

Access to competitive compensation & benefits that reward your contributions. Participation in employee recognition programs to celebrate achievements big and small. Exposure to professional development & learning initiatives to help you build your own path. Foundation built on values anchored in Accountability, Team, Urgency, Respect, Integrity, and Innovation. Opportunities for global exposure work alongside talented colleagues across India, Singapore, the UK, and the US, expanding your perspective and network. Invitations to yearly team offsites to connect, collaborate, and strengthen relationships in person. Leverage a lifestyle spending account benefit so you can choose your own wellness and work-from-home perks. Our commitment to you: Our aspiration: A culture where every person feels confident navigating their unique path and inspired to grow every step of the way. Our support : Meeting you where you are, empowering your growth with clarity, support, and purpose. Our promise : Your growth is yours to lead, but never a journey you take alone. Driven to Deliver (What Youll Do) Develop and maintain the core data pipelines, involving the creation of production-level SQL and Python code to fuel our platforms. Adapt and enhance data models and data schemas to align with both business and engineering requirements. Conduct data analysis to contribute to the enhancement of overall business performance. Identify and select optimal data sources for specific analytical tasks. Establish procedures for data mining, data modeling, and data production. Collaborate with internal and external partners to address challenges and ensure successful outcomes. Equipped to Excel (Qualifications) Educational Background: Possess a Bachelors degree in computer science, statistics, or mathematics. Programming Expertise: 5+ years of experience with Python, with the ability to write production-level code. SQL Proficiency: 5+ years of experience in SQL, with excellent skills in navigating multiple data tables and comprehending data models. Cloud Computing: 3+ years of hands-on experience with cloud computing services, particularly AWS (Amazon Web Services). Data Architecture: Proven experience in designing data architectures, including Kafka, Data Warehouses and Operational Data Stores (ODS). Cloud-Based Analytics: Possess a strong understanding of cloud-based analytics platforms, such as Snowflake and AWS SageMaker. Data Workflow Management: Ideally, possess at least 1 year of experience with data workflow management tools, with Airflow experience being a plus. Data Cleaning: Be skilled in data cleaning and standardization processes. SQL Engine: Exhibit an excellent understanding of SQL engines and the capability to perform advanced performance tuning. Distinct by Design (What Sets You Apart) Self-Sufficient and proactive nature, able & comfortable "figuring things out", resorting to escalation only when after exhausting all other options Exceptional communication skills, both verbal and written, with a knack for explaining complex concepts in a clear & concise manner across all levels and functions Team members are encouraged to work collaboratively with an emphasis on results, not on hierarchy or titles.