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4.0 - 8.0 years

0 Lacs

chennai, tamil nadu

On-site

As a Data Engineer MS Fabric at our Chennai-Excelencia Office location, you will leverage your 4+ years of experience to design, build, and optimize data pipelines using Microsoft Fabric, Azure Data Factory, and Synapse Analytics. Your primary responsibilities will include developing and maintaining Lakehouses, Notebooks, and data flows within the Microsoft Fabric ecosystem, ensuring efficient data integration, quality, and governance across OneLake and other Fabric components, and implementing real-time analytics pipelines for high-throughput data processing. To excel in this role, you must have proficiency in Microsoft Fabric, Azure Data Factory (ADF), Azure Synapse Analytics, Delta Lake, OneLake, Lakehouses, Python, PySpark, Spark SQL, T-SQL, and ETL/ELT Development. Your work will involve collaborating with cross-functional teams to define and deliver end-to-end data engineering solutions, participating in Agile ceremonies, and utilizing tools like JIRA for project tracking and delivery. Additionally, you will be tasked with performing complex data transformations using various data formats and handling large-scale data warehousing and analytics workloads. Preferred skills for this position include a strong understanding of distributed computing and cloud-native data architecture, experience with DataOps practices and data quality frameworks, familiarity with CI/CD for data pipelines, and proficiency in monitoring tools and job scheduling frameworks to ensure the reliability and performance of data systems. Strong problem-solving and analytical thinking, excellent communication and collaboration skills, as well as a self-motivated and proactive approach with a continuous learning mindset are essential soft skills required for success in this role.,

Posted 1 week ago

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13.0 - 20.0 years

40 - 45 Lacs

Bengaluru

Work from Office

Principal Architect - Platform & Application Architect Experience 15+ years in software/data platform architecture 5+ years in architectural leadership roles Architecture & Data Platform Expertise Education Bachelors/Master’s in CS, Engineering, or related field Title: Principal Architect Location: Onsite Bangalore Experience: 15+ years in software & data platform architecture and technology strategy Role Overview We are seeking a Platform & Application Architect to lead the design and implementation of a next-generation, multi-domain data platform and its ecosystem of applications. In this strategic and hands-on role, you will define the overall architecture, select and evolve the technology stack, and establish best practices for governance, scalability, and performance. Your responsibilities will span across the full data lifecycle—ingestion, processing, storage, and analytics—while ensuring the platform is adaptable to diverse and evolving customer needs. This role requires close collaboration with product and business teams to translate strategy into actionable, high-impact platform & products. Key Responsibilities 1. Architecture & Strategy Design the end-to-end architecture for a On-prem / hybrid data platform (data lake/lakehouse, data warehouse, streaming, and analytics components). Define and document data blueprints, data domain models, and architectural standards. Lead build vs. buy evaluations for platform components and recommend best-fit tools and technologies. 2. Data Ingestion & Processing Architect batch and real-time ingestion pipelines using tools like Kafka, Apache NiFi, Flink, or Airbyte. Oversee scalable ETL/ELT processes and orchestrators (Airflow, dbt, Dagster). Support diverse data sources: IoT, operational databases, APIs, flat files, unstructured data. 3. Storage & Modeling Define strategies for data storage and partitioning (data lakes, warehouses, Delta Lake, Iceberg, or Hudi). Develop efficient data strategies for both OLAP and OLTP workloads. Guide schema evolution, data versioning, and performance tuning. 4. Governance, Security, and Compliance Establish data governance , cataloging , and lineage tracking frameworks. Implement access controls , encryption , and audit trails to ensure compliance with DPDPA, GDPR, HIPAA, etc. Promote standardization and best practices across business units. 5. Platform Engineering & DevOps Collaborate with infrastructure and DevOps teams to define CI/CD , monitoring , and DataOps pipelines. Ensure observability, reliability, and cost efficiency of the platform. Define SLAs, capacity planning, and disaster recovery plans. 6. Collaboration & Mentorship Work closely with data engineers, scientists, analysts, and product owners to align platform capabilities with business goals. Mentor teams on architecture principles, technology choices, and operational excellence. Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 12+ years of experience in software engineering, including 5+ years in architectural leadership roles. Proven expertise in designing and scaling distributed systems, microservices, APIs, and event-driven architectures using Java, Python, or Node.js. Strong hands-on experience with building scalable data platforms on premise/Hybrid/cloud environments. Deep knowledge of modern data lake and warehouse technologies (e.g., Snowflake, BigQuery, Redshift) and table formats like Delta Lake or Iceberg. Familiarity with data mesh, data fabric, and lakehouse paradigms. Strong understanding of system reliability, observability, DevSecOps practices, and platform engineering principles. Demonstrated success in leading large-scale architectural initiatives across enterprise-grade or consumer-facing platforms. Excellent communication, documentation, and presentation skills, with the ability to simplify complex concepts and influence at executive levels. Certifications such as TOGAF or AWS Solutions Architect (Professional) and experience in regulated domains (e.g., finance, healthcare, aviation) are desirable.

Posted 1 month ago

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