Data Engineer

Job Summary We are seeking a highly skilled Data Engineer / Data Analyst to support large-scale data initiatives by designing robust data pipelines, performing advanced data analysis, and delivering measurable business impact. This role requires strong hands-on expertise in data engineering, analytics, and the ability to translate complex datasets into actionable business insights. The ideal candidate will thrive in a collaborative, onsite environment and work closely with cross-functional stakeholders to support data-driven decision-making. Key ResponsibilitiesDesign, develop, and maintain scalable ETL / ELT data pipelinesPerform in-depth data analysis to identify trends, patterns, and actionable insightsWork with both structured and unstructured datasetsCollaborate with cross-functional teams including product, engineering, and business stakeholdersEnsure data quality, integrity, reliability, and consistency across systemsTranslate analytical findings into clear, meaningful business recommendationsSupport performance optimization, scalability, and reliability of data platforms Required Skills & ExperienceStrong hands-on experience in data analysisAdvanced SQL skillsPython programmingStatistical analysis and data modeling techniquesData visualization and storytellingSolid data engineering fundamentalsETL / ELT pipeline developmentExperience with big data and distributed processing frameworks (Spark)Experience with workflow orchestration tools (Airflow)Hands-on experience with cloud-based data platforms including DatabricksExperience working with cloud data services Project & Impact Requirements Candidates must be able to clearly articulate real project examples, including: Problem statementApproach and methodologyTools and technology stack usedOutcomes deliveredDemonstrated measurable business impact, such as: Performance improvementsCost optimization or savingsData reliability enhancementsScalability and platform efficiency gainsCompetenciesStrong analytical and problem-solving abilitiesAbility to work independently in a fast-paced environmentExcellent communication and stakeholder collaboration skillsBusiness-oriented mindset with focus on impact and outcomes Preferred SkillsExperience working in large-scale or enterprise data environmentsStrong understanding of end-to-end data lifecycleAbility to influence data-driven decision-making across teams