10 - 15 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Job Type

Full Time

Job Description

As a hands-on Data Architect specializing in intricate data challenges within structured and unstructured sources, you will play a pivotal role in designing and constructing tailored micro data lakes specific to the lending domain. Your responsibilities will also include defining and executing enterprise data strategies encompassing modeling, lineage, and governance. Your key responsibilities will involve: - Architecting and implementing robust data pipelines for both batch and real-time data ingestion - Devising strategies for extracting, transforming, and storing data from various sources such as APIs, PDFs, logs, and databases - Establishing best practices for data quality, metadata management, and data lifecycle control - Collaborating with engineering and product teams to align data architecture with business objectives - Mentoring data engineers and promoting engineering excellence in data practices Qualifications required for this role: - Minimum of 10 years of experience in data architecture and engineering - Profound understanding of structured and unstructured data ecosystems - Hands-on proficiency in ETL, ELT, stream processing, querying, and data modeling - Expertise in tools and languages such as Spark, Kafka, Airflow, SQL, Amundsen, Glue Catalog, and Python - Familiarity with cloud-native data platforms like AWS, Azure, or GCP - Solid foundation in data governance, privacy, and compliance standards If you are passionate about crafting micro data lakes and spearheading enterprise-wide data strategies, and possess the required experience and skills, this role offers you the opportunity to lead data-first transformation and develop products that drive AI adoption within a collaborative and tech-driven culture. You will have access to the latest tools and technologies in the data ecosystem. Location: Chennai Experience: 10-15 Years | Full-Time | Work From Office If this resonates with you and you are ready to shape the future of data, we encourage you to apply now and embark on this exciting journey!,

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