Python + Data Engineer

Wissen Technology is Hiring forPython + Data EngineerAbout Wissen Technology:At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with2000+ employeesacross offices in theUS, UK, UAE, India,andAustralia. Our commitment to excellence translates into delivering2Ximpact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge,cutting-edgetechnologyexpertise, and a relentless focus on quality. Wedon’tjust meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with clientobjectives. We have a proventrack recordof building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile podsprovideclients withthe flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent. Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time.JobSummary: We are seeking an experiencedPython + Data Engineerwho can design, develop, and deliver scalable data solutions within the banking and financial services domain. The ideal candidate should be a hands‑on developer with strongexpertisein Python-based data workflows, cloud technologies, and distributed data processing frameworks. This role requires deep technical skills, strong analytical capabilities, and the ability to work end-to-end on complex data engineering projects.Experience:3-5YearsLocation: Pune / MumbaiMode of Work: Full timeKeyResponsibilities:Develop andmaintainscalable data workflows and automation using PythonBuild andoptimizelarge‑scale data processing pipelines usingPySparkPerform detailed data analysis and validation usingPandasWork withDelta Lakefor handling structured and semi‑structured datasetsWrite efficientSQL queriesand perform operations on Delta tablesLeverageAzure Cloud compute and storage servicesfor data engineering workloadsUseADF or Airflowto orchestrate data pipelines and workflowsCollaborate with cross-functional teams to design end‑to‑end data solutionsEnsure data quality, performance, and reliability across all pipelinesTroubleshoot,optimize, and enhance existing data workflowsRequirements:Python (3–5 years):Strong experience in data workflows, automation, data manipulationPySpark:Hands-on experience in distributed large-scale data processingPandas:Strong capabilities in data analysis and validationDelta Lake:Experience managing large structured and semi-structured datasetsSQL:Strong querying skills and experience working with Delta tablesAzure Cloud:Compute, storage, and basic cloud data servicesOrchestration Tools:Experience withAzure Data Factory (ADF)orApache AirflowGood To Have Skills: Experience withAzure DatabricksKnowledge ofdata modelingand warehouse concepts (dimensional modeling, star schema)Understanding ofdata governanceanddata quality frameworksExperience withGitand CI/CD for data pipeline deploymentExposure to streaming technologies likeKafkaorEvent HubUnderstanding ofDevOpspractices for data engineeringExperience in BFSI domain data processes (optional but beneficial)Wissen Sites: