9 Schema Evolution Jobs

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase, to revolutionise mobile banking with seamless journeys that our customers love. We're already trusted by millions in the US and we're quickly catching up in the United Kingdom - but how we do things here is a little different. We're building the bank of the future from scratch, where you'll have the opportunity to make a real impact. As a Sr Principal Software Engineer in the Back-End Engineer chapter at JPMorgan Chase within the International...

Experience: 6-9 years Location: Chennai, Bengaluru Notice Period: Immediate to 30 Days Job Description Technical Skills: Strong hands-on experience with Apache Spark, PySpark, and Scala. Proficiency in SQL and data manipulation techniques. Experience with Hadoop ecosystem tools (HDFS, Hive, YARN, etc.). Knowledge of cloud platforms (AWS, Azure, or GCP) and managed Spark services (e.g., Databricks, EMR, Glue). Familiarity with data lakehouse concepts, Delta Lake, or Iceberg is a plus. Experience with CI/CD, Git, and workflow orchestration tools (Airflow, Oozie, etc.). Understanding of data modeling, partitioning, and schema evolution strategies. Exposure to containerization (Docker, Kubernete...

As an experienced Data Engineer with 6+ years of experience, your role will involve: - Designing and implementing modern data lakehouse architectures (Delta Lake, or equivalent) on cloud platforms like AWS, Azure, or GCP. - Defining data modeling, schema evolution, partitioning, and governance strategies for high-performance and secure data access. - Owning the technical roadmap for scalable data platform solutions, aligned with enterprise needs and future growth. - Providing architectural guidance and conducting code/design reviews across data engineering teams. - Building and maintaining reliable, high-throughput data pipelines for ingestion, transformation, and integration of structured, ...

JD Data Architect (Microsoft Azure, Microsoft Fabric) Job Title: Data Architect Location: Remote Experience Level: 5+ Years Job type: 6 Months Contract ( with extension) Availability: Immediate (Start Date -November 23 ) Job Profile: The Data Architect (Azure Data Architect or Data Platform Architect) designs and leads the build- out of scalable, AI-ready data solutions using Microsoft Fabric and the Azure data ecosystem. This role connects business goals to data architecture, ensuring platforms are secure, performant, and optimized for analytics and AI use cases. You will define how data flows from raw ingestion (bronze) through transformation (silver) to curated, analytics-ready models (go...

As a Data Engineer specializing in Spark & Delta Lake, your role will involve understanding key Spark concepts such as RDDs, DataFrames, DataSets, SparkSQL, and Spark Streaming. You will also be expected to have experience in optimizing Spark performance and a deep understanding of Delta Lake features like time travel, schema evolution, and data partitioning. Your responsibilities will include designing and implementing data pipelines using Spark and Delta Lake as the data storage layer. Proficiency in Python, Scala, or Java for Spark development and integration with ETL processes is essential. Additionally, you should possess knowledge of data ingestion techniques from various sources such ...

As a Data Architect specializing in OLTP & OLAP Systems, you will play a crucial role in designing, optimizing, and governing data models for both OLTP and OLAP environments. Your responsibilities will include architecting end-to-end data models across different layers, defining conceptual, logical, and physical data models, and collaborating closely with stakeholders to capture functional and performance requirements. Key Responsibilities: - Design, optimize, and govern data models for OLTP and OLAP systems - Architect end-to-end data models across various layers - Define conceptual, logical, and physical data models - Collaborate with stakeholders to capture functional and performance requ...

As a Data Architect with over 6 years of experience, you will be responsible for designing and implementing modern data lakehouse architectures on cloud platforms such as AWS, Azure, or GCP. Your primary focus will be on defining data modeling, schema evolution, partitioning, and governance strategies to ensure high-performance and secure data access. In this role, you will own the technical roadmap for scalable data platform solutions, ensuring they are aligned with enterprise needs and future growth. You will also provide architectural guidance and conduct code/design reviews across data engineering teams to maintain high standards of quality. Your responsibilities will include building an...

Job Description We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase, to revolutionise mobile banking with seamless journeys that our customers love. We&aposre already trusted by millions in the US and we&aposre quickly catching up in the United Kingdom but how we do things here is a little different. We&aposre building the bank of the future from scratch, where you&aposll have the opportunity to make a real impact. As a Sr Principal Software Engineer in the Back-End Engineer chapter at JPMorgan Chase within the International Consumer Bank, you will be tasked with the creation and delivery of innovative,...

As a Data Architect specializing in OLTP & OLAP Systems, you will play a crucial role in designing, optimizing, and governing data models for both OLTP and OLAP environments. Your responsibilities will include architecting end-to-end data models across different layers, defining conceptual, logical, and physical data models, and collaborating closely with stakeholders to capture functional and performance requirements. You will need to optimize database structures for real-time and analytical workloads, enforce data governance, security, and compliance best practices, and enable schema versioning, lineage tracking, and change control. Additionally, you will review query plans and indexing st...