Senior Data Engineer

About Tiger Analytics Shape the Future of AI. Transform the World's Leading Businesses. Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact. We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India. At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it. What You Will Be Doing We are seeking a Senior Data Engineer to join our advanced analytics and AI team supporting some of our large enterprise clients. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines, processing large datasets, and managing scheduled data workflows to support enterprise data engineering initiatives. Key Responsibilities: Design, develop, and maintain scalable data pipelines using Databricks, Apache Spark, Python, and ScalaDevelop and optimize ETL/ELT processes for data ingestion, transformation, and processing across diverse data sourcesWork with Hadoop and its ecosystem to process and manage large volumes of structured and unstructured dataDevelop, troubleshoot, and optimize Spark applications to improve performance, scalability, and reliabilityUse Control-M to schedule, monitor, and manage batch jobs, workflow dependencies, and data processing pipelinesTroubleshoot job failures, resolve data pipeline issues, and ensure timely completion of scheduled workloadsImplement data validation, error handling, and quality checks to ensure data accuracy and consistencyCollaborate with data architects, analysts, and cross-functional teams to understand requirements and deliver reliable data solutionsFollow coding standards, testing practices, version control, and deployment proceduresSupport production deployments, incident resolution, and ongoing maintenance of data engineering solutions Requirements What we need 8+ years of overall Data Engineering experienceStrong hands-on experience with Databricks and Apache SparkProficiency in Python and Scala for data processing and application developmentHands-on experience with Hadoop and big data technologiesExperience with Control-M for batch scheduling, job monitoring, workflow orchestration, and dependency managementStrong understanding of ETL/ELT processes, data transformations, and distributed data processingExperience in performance tuning, debugging, troubleshooting, and production supportStrong SQL skills and understanding of data management conceptsExcellent analytical, problem-solving, and collaboration skills Benefits Why Join Tiger Analytics: Drive High-Impact Business Transformation: Lead strategic engagements that go beyond traditional analytics, delivering enterprise-wide AI adoption, cloud-native data modernization, and measurable business outcomesBuild and Lead at Global Scale: Collaborate with exceptional AI, data, engineering, and consulting talent across geographies to deliver transformative solutions and grow strategic client partnershipsBenefits: Medical, Dental, Vision, Retirement Accounts, Long and Short Term Disability, Life Insurance, HSA/FSA Accounts (USA) and Discretionary time-offContinuous Learning & AI Upskilling: Stay ahead of the rapidly evolving AI landscape through continuous learning, hands-on exposure to emerging technologies, and opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms. Grow alongside a team that invests in developing future-ready skills and encourages innovation Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.