Posted:7 hours ago|
Platform:
On-site
Full Time
Role: Data Engineer Job Title: Senior Manager / Chief Manager Work Experience: 4 years + Education: Engineering Graduate Department: Data Science Work location: Goregaon (East), Mumbai About the Rol e:We are seeking a highly skilled Data Engineer with 4–6 years of hands-on experience in designing and developing scalable, reliable, and efficient data solutions. The ideal candidate will have a strong background in cloud platforms (AWS or Azure), experience in building both batch and streaming data pipelines, and familiarity with modern data architectures including event-driven and medallion architecture s. Key Responsibiliti es:•Design, build, and maintain scalable data pipelines (batch and streaming) to process structured and unstructured data from various sourc es.•Develop and implement solutions based on event-driven architectures using technologies like Kafka, Event Hubs, or Kines is.•Architect and manage data workflows based on the Medallion architecture (Bronze, Silver, Gold layer s).•Work with cloud platforms (AWS or Azure) to manage data infrastructure and storage, compute, and orchestration servic es.•Leverage cloud-native or open-source tools for data transformation, orchestration, monitoring, and quality chec ks.•Collaborate with data scientists, analysts, and product manager to deliver high-quality data solutio ns.•Ensure best practices in data governance, security, lineage, and observabili ty.Required Skills & Qualificatio ns:•4–6 years of professional experience in data engineering or related rol es.•Strong experience in cloud platforms: AWS (e.g., S3, Glue, Lambda, Redshift) or Azure (e.g., Data Lake, Synapse, Data Factory, Function s).•Proven expertise in building batch and streaming pipelines using tools like Spark, Flink, Kafka, Kinesis, or simil ar.•Practical knowledge of event-driven architectures and experience with message/event broke rs.•Hands-on experience implementing Medallion architecture or similar layered data architectur es.•Familiarity with data orchestration tools (e.g., Airflow, Azure Data Factory, AWS Step Function s).
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