Infiniti Research - Azure Data Engineer Lead - Data Factory/Databricks

Company : Quantzig Analytics. Location : Kadubeesanahalli, Bangalore. Experience : 6 years minimum is required. Notice : Preferably 0 to 30days. Job Description : - Seeking a self-driven professional with a strong ownership mentality and the ability to work independently without constant guidance. - The ideal candidate will have an agile mindset, capable of swiftly responding to requests such as data modelling or data acquisition, demonstrating a proactive approach in problem-solving. Job Description : - Seeking a self-driven professional with a strong ownership mentality and the ability to work independently without constant guidance. - The ideal candidate will have an agile mindset, capable of swiftly responding to requests such as data modelling or data acquisition, demonstrating a proactive approach in problem-solving. Experience : 6 Years. Technical Skills : - 6 years of experience as a Data Engineer, with at least 3 years of hands-on experience with Azure data services. - Strong understanding of data engineering principles, data modelling, and data warehousing concepts. - Proficiency in Azure Data Factory, Azure Data bricks, Azure Synapse Analytics, and Azure Data Lake Storage. - Experience with data ingestion, transformation, and integration using Azure tools and technologies. - Knowledge of data quality, data governance, and data security best practices. - Ability to design and implement scalable and performant data architectures. - Experience with SQL and NoSQL databases, such as Azure SQL Database, Azure Cosmos DB, and Azure Table Storage. - Proficiency in programming languages such as Python for data processing and automation. - Familiarity with Medallion architecture for data process migration, ensuring efficient and structured data flows. - Strong experience in managing stakeholder expectations through effective business communication and should have experience in leading a team. Good to Have : - Experience working in the CPG industry, with an understanding of retail specific data challenges and opportunities. - Knowledge of big data technologies, such as Apache Spark and Hadoop, and their integration with Azure services. - Familiarity with data visualization tools, such as Power BI or Tableau, for creating dashboards and reports. - Experience with DevOps practices, such as version control, continuous integration, and continuous deployment using Azure DevOps. - Certification in Azure Data Engineering or related areas. Soft Skills : - Strong leadership and mentoring skills, with the ability to guide and develop a team of junior data engineers. - Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams, including data scientists, business analysts, and stakeholders. - Problem-solving and analytical mindset, with the ability to identify and resolve complex data challenges. - Ability to manage multiple projects simultaneously and prioritize tasks based on business impact. - Proactive and self-motivated, with a desire to continuously learn and stay up-to-date with the latest trends and technologies in data engineering. - Attention to detail and a commitment to delivering high-quality work. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 11/27/2024