Hiring || Data Engineer

13 hours ago

Pune City Maharashtra India 2coms Full time ₹ 35,00,000 - ₹ 1,20,00,000 per year

Summary: We are seeking a passionate and driven Data Engineer to play a pivotal role in building and scaling high -quality data products within our analytics ecosystem. This individual will be instrumental in designing, developing, and maintaining robust, scalable, and performant ETL pipelines that power data -driven decision -making across the organization. The ideal candidate combines technical excellence with a collaborative mindset, a curiosity for solving complex problems, and a strong commitment to continuous learning and innovation. You will work closely with cross -functional teams to deliver data solutions that align with both business objectives and technical best practices, contributing to the evolution of our data infrastructure on AWS or Azure. Experience: 5 -10 years Location: Remote Responsibilities:Design, develop, and manage scalable ETL/ELT pipelines using Apache Spark (Scala) with a focus on performance, reliability, and fault toleranceOptimize Spark -based data processing workflows through deep understanding of execution plans, memory management, and performance tuning techniquesBuild and maintain data pipelines that extract, transform, and load data from diverse sources into enterprise data warehouses, data lakes, or data mesh architectures hosted on AWS or AzureCollaborate with data architects, analysts, and product teams to define data requirements and deliver effective, scalable solutionsImplement end -to -end data orchestration using AWS Step Functions or Azure Logic Apps, ensuring reliable workflow execution and monitoringUtilize AWS Glue, Crawler, or Azure Data Factory and Data Catalog to automate data discovery, metadata management, and pipeline automationMonitor pipeline health, troubleshoot issues, and enforce data quality standards across all stages of the data lifecycleMaintain high coding standards, produce comprehensive documentation, and actively contribute to both high -level (HLD) and low -level (LLD) design discussions Requirements Requirements:4+ years of progressive experience developing data solutions in large -scale Big Data environments3+ years of hands -on experience with Python, Apache Spark, and Apache KafkaProficient in AWS or Azure cloud platforms, with demonstrated experience in core data services (e.g., S3, Lambda, Glue, Data Factory, etc.)Strong expertise in SQL and NoSQL data technologies, including schema design and query optimizationSolid understanding of data warehousing principles, dimensional modeling, and ETL/ELT methodologiesFamiliarity with High -Level Design (HLD) and Low -Level Design (LLD) processes and documentationExcellent written and verbal communication skills, with the ability to collaborate effectively across technical and non -technical teamsPassion for building reliable, high -performance data products and a continuous drive to learn and improve ${job_id}

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