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The primary objective is to act as a catalyst in Avanse's growth journey, through impactful contribution to Application Development & programming role.\n\nKey Responsibilities : \n\n- Design and develop scalable, batch and real time data pipelines, addressing business requirements.\n\n- Identify the key problems, analyze information and recommend precise solutions to various technical & domain-specific issues.\n\n- Act as an SME to various technical and functional stakeholders with minimum direct supervision\n\nKey Accountabilities : \n\n- Drive best practice in Data platform management and software development, ensuring high quality in terms of data, architecture, testing & deployment.\n\n- Manage team responsibilities of addressing production issues promptly, if any.\n\n- Work closely with product managers, Business Stakeholders to develop technical roadmaps.\n\n- Build effective relationships with cross-functional teams to swiftly address issues.\n\nRequired Experience : \n\n- 4-6 years of robust experience in Python programming, demonstrating a strong command of Object-Oriented Programming (OOP) principles and their application in scalable solutions.\n\n- Proven expertise in designing, building, and maintaining comprehensive data platforms, encompassing Data Governance, ETL processes, Data Warehouses, and Data Lakes.\n\n- Deep proficiency in complex SQL queries, with a demonstrated ability to optimize query performance for large datasets.\n\n- Hands-on experience with Big Data technologies, specifically Apache Spark and the Hadoop ecosystem.\n\n- Expertise in Spark performance tuning and optimization techniques to ensure efficient data processing.\n\n- 4-6 years of practical experience with Amazon Web Services (AWS) data engineering services, including Glue, EMR, Lambda, Redshift, Athena, Glue Catalog, and Lake Formation\n\n- Familiarity with UI and Business Dashboard development using tools such as Tableau, Qlik, QuickSight, or other similar frontend visualization platforms (Good to have)\n\n- Experience working within an Agile methodology, utilizing tools like JIRA, Git, Confluence, and Jenkins for project management and CI/CD pipelines.\n\n- Good to have domain expertise on BFSI/NBFC/FinTech\n\nRequired Qualification : \n\n- Bachelor's degree/University degree or equivalent of B.E/B.Tech\n\nTechnical Competencies : \n\n- Design and develop scalable, batch and real time data pipelines, addressing business requirements.\n\n- Continuously enhance team practices and technical processes aligning with broader organizational goals.\n\nBehavioral Competencies : \n\n- Collaboration & Teamwork : Working effectively with cross-functional teams (data scientists, analysts, software engineers, business stakeholders) to achieve common goals.\n\n- Problem-Solving & Analytical Thinking : The ability to dissect complex data challenges, identify root causes, and scalable solutions.\n\n- Adaptability & Flexibility : The willingness to learn new technologies, adapt to changing project requirements, and navigate evolving data landscapes.\n\n- Communication Skills : Clearly articulating technical concepts to non-technical audiences, documenting processes, and effectively discussing solutions with peers.\n\nPersonal Attributes : \n\n- Integrity : Handling sensitive data responsibly and maintaining ethical standards.\n\n- Patient & Persistent : Tackling complex, often time-consuming data integration and debugging tasks with resilience.\n\n- Curious & Inquisitive : A natural inclination to explore data and understand underlying systems.\n\n- Self-Motivated : Driven to achieve results and improve processes independently.\n\nSkills\nPython, SQL, Apache Spark, AWS, ETL, Data Warehousing, Hadoop, Data Engineering, Data Management, 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