▷ 15h Left Senior Data Engineer

5 days ago

India Xebia Full time

Job Title : Senior Data Engineer Job Location : Bengaluru Exp Range : 6-10 years Notice Period : immediate - 15 days We are looking for Data Engineer with hands on experience on Python , Pyspark , Hadoop Hive, HDFS, Oozie, Yarn Key Responsibilities - Design, develop and maintain large-scale, high-performance data pipelines (batch and streaming) to support analytics and data-driven decision-making for retail business. - Collaborate with cross-functional teams (business stakeholders, analysts, platform/infrastructure teams) to understand data needs, ingest diverse data sources, and deliver data solutions. - Work on building and evolving a data lake / data warehouse / data platform architecture (including ingestion, transformation, storage, metadata, governance). - Implement optimal data models, query tuning, performance optimization, ensuring data quality, reliability, and scalability. - Adopt DevOps/CI-CD practices for data workflows (e.g., automated deployments, monitoring, scheduling). - Mentor and guide junior engineers, review code/designs, and contribute to architectural decisions and best practices in data engineering. - Stay current with new data technologies (cloud data services, streaming frameworks, orchestration) and recommend improvements. Required Skills & Experience - Bachelor's degree (B.Tech/BE) or equivalent in Computer Science, Engineering, or related. - 6-10 years of relevant experience in data engineering / big data / analytics platforms. - Strong expertise in distributed data processing frameworks such as Apache Spark (Scala or Java) and/or Python. - Solid experience with SQL and query optimisation over large volumes of data. - Experience with big data ecosystems: Hadoop distributions (Cloudera/Hortonworks), file formats (Parquet/Avro/ORC), streaming frameworks (Kafka, Spark Streaming). - Familiarity with data lake/warehouse design, data modelling, metadata management, data quality frameworks. - Exposure to cloud data engineering (Azure, AWS, GCP) or hybrid architectures is desirable. - Good software engineering practices: code quality, unit/integration testing, version control (Git), CI/CD pipelines, containerisation (Docker/Kubernetes) is a plus. - Excellent communication and collaboration skills, ability to work independently and mentor others.

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