42 Databricks Workflows Jobs - Page 2

Data Architect - Databricks (Azure/AWS) Role Overview: We are seeking an experienced Data Architect specializing in Databricks to lead the architecture, design, and migration of enterprise data workloads from on-premises systems (e.g., Oracle, Exadata, Hadoop) to Databricks on Azure or AWS . The role involves designing scalable, secure, and high-performing data platforms based on the medallion architecture (bronze, silver, gold layers), supporting large-scale ingestion, transformation, and publishing of data. Required Skills and Experience: 8+ years of experience in data architecture or engineering roles, with at least 3+ years specializing in cloud-based big data solutions. Hands-on experti...

You should have over ten years of experience in software development, including recent years in a leadership position with increasing responsibilities. Your expertise should cover various areas such as C#, .Net, designing and developing cloud-native solutions on platforms like Azure, AWS, and Google Cloud Platform, using Infrastructure as Code tools like Terraform and Pulumi, employing configuration management tools like Ansible and Chef, working with containerization and orchestration technologies like Docker and Kubernetes, and integrating with Native and third-party Databricks solutions. Additionally, you should possess extensive experience specifically in Azure. It would be advantageous ...

Role overview Experience : 10- 18 10 plus years experience in software development with at least the last few years in a leadership role with progressively increasing responsibilities 2. Extensive experience in the following areas Proficient in C#, .NET framework, Python Knowledgeable in Angular / React / Node Designing and building cloud-native solutions (Azure, AWS, Google Cloud Platform) Well versed with LLM solutions, RAG, Vectorization Containerization and orchestration technologies (Docker, Kubernetes) Experience in native and third-party Databricks integrations (Delta Live Tables, Lakeflow, Databricks Workflows / Apache Airflow, Unity Catalog) Experience designing and implementing dat...

The Databricks Data Engineering Lead role requires a highly skilled individual who will architect and lead the implementation of scalable, high-performance data pipelines and platforms using the Databricks Lakehouse ecosystem. As a Data Engineering Lead, you will be responsible for managing a team of data engineers, establishing best practices, and collaborating with cross-functional stakeholders to unlock advanced analytics, AI/ML, and real-time decision-making capabilities. Your key responsibilities will include leading the design and development of modern data pipelines, data lakes, and lakehouse architectures using Databricks and Apache Spark. You will manage and mentor a team of data en...

We are looking for a seasoned Senior Data Architect with extensive knowledge in Databricks and Microsoft Fabric to join our team. In this role, you will be responsible for leading the design and implementation of scalable data solutions for BFSI and HLS clients. As a Senior Data Architect specializing in Databricks and Microsoft Fabric, you will play a crucial role in architecting and implementing secure, high-performance data solutions on the Databricks and Azure Fabric platforms. Your responsibilities will include leading discovery workshops, designing end-to-end data pipelines, optimizing workloads for performance and cost efficiency, and ensuring compliance with data governance, security...

As a Senior Infrastructure Architect at our organization, you will play a crucial role in our digital transformation journey. You will have the opportunity to be involved in cybersecurity, architecture, and data protection for our global organization. Collaborating with our team, you will provide expertise in designing and validating systems, infrastructure, technologies, and data protection. Your responsibilities will include participating in technical and business discussions to shape future architecture direction, analyzing data to develop architectural requirements, and contributing to infrastructure architecture governance. Additionally, you will be involved in designing and deploying i...

The ideal candidate ready to join immediately can share their details via email for quick processing at nitin.patil@ust.com. Act swiftly for immediate attention! With over 5 years of experience, the successful candidate will have the following roles and responsibilities: - Designing, developing, and maintaining scalable data pipelines using Spark (PySpark or Spark with Scala). - Constructing data ingestion and transformation frameworks for both structured and unstructured data sources. - Collaborating with data analysts, data scientists, and business stakeholders to comprehend requirements and deliver reliable data solutions. - Handling large volumes of data while ensuring quality, integrity...

We are seeking an experienced and forward-thinking Lead Data Engineer to spearhead the development of scalable, secure, and high-performance data solutions. You must possess in-depth technical knowledge in Python, Apache Spark, Delta Lake, and orchestration tools like Databricks Workflows or Azure Data Factory. Your expertise should also include a solid understanding of data governance, metadata management, and regulatory compliance within the insurance and financial services sectors. Proficiency in developing Python applications, Spark-based workflows, utilizing Delta Lake, and orchestrating jobs with Databricks Workflows or Azure Data Factory is essential. Furthermore, you should be able t...

As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines using Spark, specifically PySpark or Spark with Scala. Your role will involve building data ingestion and transformation frameworks for various structured and unstructured data sources. Collaboration with data analysts, data scientists, and business stakeholders is essential to understand requirements and deliver reliable data solutions. Working with large volumes of data, you will ensure quality, integrity, and consistency while optimizing data workflows for performance, scalability, and cost efficiency on cloud platforms such as AWS, Azure, or GCP. Implementation of data quality c...

Candidates who are ready to join immediately can share their details via email for quick processing to nitin.patil@ust.com. Act fast for immediate attention! With over 5 years of experience, the ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines using Spark, either PySpark or Spark with Scala. They will also be tasked with building data ingestion and transformation frameworks for structured and unstructured data sources. Collaboration with data analysts, data scientists, and business stakeholders to understand requirements and deliver reliable data solutions is a key aspect of the role. The candidate will work with large volumes of data to ...

The ideal candidate ready to join immediately can share their details via email for quick processing at nitin.patil@ust.com. Act fast for immediate attention! With over 5 years of experience, you will be responsible for designing, developing, and maintaining scalable data pipelines using Spark (PySpark or Spark with Scala). You will also build data ingestion and transformation frameworks for structured and unstructured data sources. Collaboration with data analysts, data scientists, and business stakeholders to understand requirements and deliver reliable data solutions will be a key aspect of the role. Working with large volumes of data, ensuring quality, integrity, and consistency, and opt...

The ideal candidate for this position should have at least 5 years of experience and must be ready to join immediately. In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines using Spark, specifically PySpark or Spark with Scala. You will also be tasked with building data ingestion and transformation frameworks for structured and unstructured data sources. Collaboration with data analysts, data scientists, and business stakeholders to understand requirements and deliver reliable data solutions is a key aspect of this role. Working with large volumes of data to ensure quality, integrity, and consistency is crucial. Additionally, optimizing dat...

As a Sr. Data Analytics Engineer at Ajmera Infotech Private Limited (AIPL) in Bengaluru/Bangalore, you will play a crucial role in building planet-scale software for NYSE-listed clients, enabling decisions that are critical and must not fail. With 5-9 years of experience, you will join a 120-engineer team specializing in highly regulated domains such as HIPAA, FDA, and SOC 2. The team delivers production-grade systems that transform data into a strategic advantage. You will have the opportunity to make end-to-end impact by building full-stack analytics solutions ranging from lake house pipelines to real-time dashboards. Fail-safe engineering practices such as TDD, CI/CD, DAX optimization, Un...

As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines using Spark (PySpark or Spark with Scala). Your role will involve building data ingestion and transformation frameworks for structured and unstructured data sources. Collaborating with data analysts, data scientists, and business stakeholders to understand requirements and deliver reliable data solutions will be a key aspect of your responsibilities. Additionally, you will work with large volumes of data to ensure quality, integrity, and consistency, optimizing data workflows for performance, scalability, and cost efficiency on cloud platforms such as AWS, Azure, or GCP. Implementin...

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology ...

Please Note - High NP will not considered (Only Immediate joiners) Skilled and motivated Azure Databricks Data Engineer to join our dynamic team. The ideal candidate will have strong experience with Python, Spark programming, and expertise inbuilding and optimizing data pipelines in Azure Databricks. You will play a pivotal role in leveraging Databricks workflows, Databricks Asset Bundles, and CI/CD pipelines using GitHub to deliver high-performance data solutions. A solid understanding of Data Warehousing and Data Mart architecture in Databricks is critical for success in this role. If youre passionate about data engineering, cloud technologies, and scalable data architecture.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology ...