4 Azure Adls Jobs

A career in the Advisory Acceleration Centre at PwC is an opportunity to leverage PwC's global delivery capabilities and provide premium, cost-effective, and high-quality services to support client engagements. As an Azure Senior Developer at PwC - AC, you will collaborate with the Offshore Manager and Onsite Business Analyst to grasp the project requirements and take charge of the complete implementation of Cloud data engineering solutions. Your role will involve utilizing your expertise in Azure cloud services such as Storage services (Blob, ADLS, PaaS SQL), Azure Data Factory, and Azure Synapse. You should excel in planning, organization, and have the ability to lead as a cloud developer in an agile team, delivering automated cloud solutions. With 4-8 years of hands-on experience, you must be proficient in Azure cloud computing, including big data technologies. Your deep understanding of traditional and modern data architecture and processing concepts will be critical, covering relational databases, data warehousing, big data, NoSQL, and business analytics. Your experience with Azure ADLS, Data Bricks, Data Flows, HDInsight, and Azure Analysis services will be essential, along with building stream-processing systems using solutions like Storm or Spark-Streaming. Designing and implementing scalable ETL/ELT pipelines using Databricks and Apache Spark, optimizing data workflows, and understanding big data use-cases and design patterns are key requirements. Your role will also involve architecture, design, implementation, and support of complex application architectures, as well as hands-on experience in implementing Big Data solutions using Microsoft Data Platform and Azure Data Services. Knowledge of Azure SQL DB, Azure Synapse Analytics, Azure HD Insight, Azure Data Lake Storage, Azure Data Lake Analytics, Azure Machine Learning, Stream Analytics, Azure Data Factory, Azure CosmosDB, and Power BI is essential. Exposure to Open-Source technologies like Apache Spark, Hadoop, NoSQL, Kafka, Solr/Elastic Search, as well as expertise in quality processes, design strategies leveraging Azure and Databricks, and Application DevOps tools will be advantageous. Desired skills include experience in stream-processing systems, Big Data ML toolkits, Python, and AWS Architecture certification. Having worked in Offshore/Onsite Engagements, experience in AWS services like STEP & Lambda, good project management skills, and knowledge in Cloud technologies like AWS, GCP, Informatica-Cloud, Oracle-Cloud, Cloud DW - Snowflake & DBT are also beneficial. The ideal candidate should have a professional background in BE/B.Tech/MCA/M.Sc/M.E/M.Tech/MBA, possess good analytical and problem-solving skills, and excel in communication and presentation. In conclusion, as an Azure Senior Developer at PwC - AC, you will play a pivotal role in delivering high-quality Cloud data engineering solutions, leveraging your expertise in Azure cloud services, big data technologies, and modern data architecture concepts to support client engagements effectively.,

As a part of the data and analytics engineering team at PwC, your focus will be on utilizing advanced technologies and techniques to create robust data solutions for clients. Your role will involve transforming raw data into actionable insights, enabling informed decision-making, and contributing to business growth. Specifically in data engineering at PwC, you will be responsible for designing and constructing data infrastructure and systems that facilitate efficient data processing and analysis. This will include the development and implementation of data pipelines, data integration, and data transformation solutions. At PwC - AC, we are seeking an Azure Manager specializing in Data & AI, with a strong background in managing end-to-end implementations of Azure Databricks within large-scale Data & AI programs. In this role, you will be involved in architecting, designing, and deploying scalable and secure solutions that meet business requirements, encompassing ETL, data integration, and migration. Collaboration with cross-functional, geographically dispersed teams and clients will be key to understanding strategic needs and translating them into effective technology solutions. Your responsibilities will span technical project scoping, delivery planning, team leadership, and ensuring the timely execution of high-quality solutions. Utilizing big data technologies, you will create scalable, fault-tolerant components, engage stakeholders, overcome obstacles, and stay abreast of emerging technologies to enhance client ROI. Candidates applying for this role should possess 8-12 years of hands-on experience and meet the following position requirements: - Proficiency in designing, architecting, and implementing scalable Azure Data Analytics solutions utilizing Azure Databricks. - Expertise in Azure Databricks, including Spark architecture and optimization. - Strong grasp of Azure cloud computing and big data technologies. - Experience in traditional and modern data architecture and processing concepts, encompassing relational databases, data warehousing, big data, NoSQL, and business analytics. - Proficiency in Azure ADLS, Data Databricks, Data Flows, HDInsight, and Azure Analysis services. - Ability to build stream-processing systems using solutions like Storm or Spark-Streaming. - Practical knowledge of designing and building Near-Real Time and Batch Data Pipelines, expertise in SQL and Data modeling within an Agile development process. - Experience in the architecture, design, implementation, and support of complex application architectures. - Hands-on experience implementing Big Data solutions using Microsoft Data Platform and Azure Data Services. - Familiarity with working in a DevOps environment using tools like Chef, Puppet, or Terraform. - Strong analytical and troubleshooting skills, along with proficiency in quality processes and implementation. - Excellent communication skills and business/domain knowledge in Financial Services, Healthcare, Consumer Market, Industrial Products, Telecommunication, Media and Technology, or Deal advisory. - Familiarity with Application DevOps tools like Git, CI/CD Frameworks, Jenkins, or Gitlab. - Good understanding of Data Modeling and Data Architecture. Certification in Data Engineering on Microsoft Azure (DP 200/201/203) is required. Additional Information: - Travel Requirements: Travel to client locations may be necessary based on project needs. - Line of Service: Advisory - Horizontal: Technology Consulting - Designation: Manager - Location: Bangalore, India In addition to the above, the following skills are considered advantageous: - Cloud expertise in AWS, GCP, Informatica-Cloud, Oracle-Cloud. - Knowledge of Cloud DW technologies like Snowflake and Databricks. - Certifications in Azure Databricks. - Familiarity with Open Source technologies such as Apache Spark, Hadoop, NoSQL, Kafka, and Solr/Elastic Search. - Data Engineering skills in Java, Python, Pyspark, and R-Programming. - Data Visualization proficiency in Tableau and Qlik. Education qualifications accepted include BE/B.Tech/MCA/M.Sc/M.E/M.Tech/MBA.,

Job Summary Liaising with coworkers and clients to elucidate the requirements for each task. Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed. Reformulating existing frameworks to optimize their functioning. Testing such structures to ensure that they are fit for use. Preparing raw data for manipulation by data scientists. Detecting and correcting errors in your work. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs. Experience with Azure ADLS, Apache Parquet, Iceberg, Kubeflow and Airflow

Big Data Engineer / Infrastructure Developer Liaising with coworkers and clients to elucidate the requirements for each task Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed Reformulating existing frameworks to optimize their functioning Testing such structures to ensure that they are fit for use Preparing raw data for manipulation by data scientists Detecting and correcting errors in your work Ensuring that your work remains backed up and readily accessible to relevant coworkers Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs Experience with: Azure ADLS Apache Parquet Iceberg Kubeflow Airflow