3 Data Dependencies Jobs

As a Salesforce Marketing Cloud Consultant in Sydney with over 9 years of experience, you are expected to have a strong domain knowledge of the Salesforce Marketing Cloud platform. Your responsibilities will include integrating marketing with Sales/Service Cloud and other external data systems for data push/pull, including CRMs, ERPs, eCommerce platforms, Google Analytics, and SMS. You should have a solid understanding of relational data models, SOAP APIs, REST APIs, and integration techniques, along with advanced SQL skills. Your role will involve designing marketing cloud journeys and campaigns based on data dependencies. Proficiency in Email Studio, Journey Builder, and campaign management is essential, including data configuration, audience creation, and utilizing SFMC platform capabilities. You should be adept at Amp Script for email personalization and creating complex cloud pages with Amp Script. A technical background with a history of understanding complex systems is required, along with the ability to work both independently and collaboratively in a team environment. Strong communication skills and team handling capabilities are crucial. Possession of Salesforce Marketing Cloud Consultant certification is mandatory for this role. Your experience in Email Studio, Journey Builder, Automation Studio, Web Studio/Cloud Pages, Amp Script, and Marketing Cloud API's (REST and SOAP) will be valuable. Key responsibilities include enabling and executing marketing automations, testing marketing automations with dynamic content, and designing and optimizing campaigns with strategies like A/B Testing and throttled sending. You will also be responsible for personalizing marketing campaigns, building and executing email campaigns using Content Builder, and leveraging AmpScript for dynamic content. Subscriber and data management tasks, working with Data Extensions, Profile management, and relational data models, are also part of your responsibilities. Additionally, you should be able to design mobile-responsive creatives, create Microsites using ExactTarget, and configure Exact Target Microsite Activity. Knowledge of UI and front-end web technologies like SSJS, HTML, CSS, and Javascript/jQuery will be considered a value addition to your role as a Salesforce Marketing Cloud Consultant.,

You are invited to join AURC Solutions as a Data Management resource specializing in Data Governance for a client based in Hyderabad. Your role will involve collaborating with the business to support data governance initiatives, including data cleansing. We are seeking individuals with specific skill sets, whereby one resource should have Salesforce experience (certified Admin at minimum) and the other can be without Salesforce experience. Your primary responsibilities will include: - Serving as a Data Steward for Data Governance - Leading Data Cleansing efforts as the main point of contact for Key Data Elements (KDEs) - Conducting Data Quality efforts such as data quality health checks and analysis - Collaborating with business Subject Matter Experts (SMEs) and IT for data updates - Demonstrating a strong understanding of data lineage and dependencies - Utilizing Data Quality tools like Informatica and Purview would be advantageous. Location preference: Hyderabad (offshore) Immediate availability is preferred. Mode of work: On-site (5 days a week) Resource 1 Requirements: - Salesforce expertise (certified Admin at minimum) - Experience as a Data Steward - Experience in Data Cleansing efforts, particularly with KDEs - Proficiency in Data Quality efforts, including health checks and analysis - Collaboration with business SMEs and IT for data updates - Understanding of data lineage and dependencies - Working knowledge of Data Quality tools like Informatica and Purview. Resource 2 Requirements: - Experience as a Data Steward - Experience in Data Cleansing efforts, particularly with KDEs - Proficiency in Data Quality efforts, including health checks and analysis - Collaboration with business SMEs and IT for data updates - Understanding of data lineage and dependencies - Working knowledge of Data Quality tools like Informatica and Purview. Location: Hyderabad Notice Period: Preferred immediate joiners/serving notice period/30 days To learn more about the role, please send your CV to anamika.t@aurcsolutions.com / naveen.regula@aurcsolutions.com or contact 8085434473.,

Role: AWS Data Engineer Location: Hyderabad, Bangalore, Chennai, Mumbai, Pune, Kolkata, Gurgaon Experience: 4-8 years Work Mode: Hybrid Job Description: We are seeking a skilled AWS Data Engineer to design, develop, and support large-scale data solutions on AWS. The ideal candidate will have hands-on expertise in data engineering, automation, and cloud technologies, enabling data-driven decision-making and operational excellence. Contract to Hire Key Responsibilities: Design, develop, and deploy data pipelines and solutions using AWS services such as S3, Glue, Lambda, API Gateway, and SQS . Write clean, efficient code using Python , PySpark , and SQL to process and transform data. Implement batch job scheduling , manage data dependencies, and ensure reliable data processing workflows. Develop and maintain Spark and Airflow jobs for large-scale data processing and orchestration. Automate repetitive tasks and build reusable frameworks to enhance efficiency and reduce manual intervention. Provide Run/DevOps support , monitor pipelines, and manage the ongoing operation of data services on AWS. Ensure high standards for data quality, reliability, and performance. Collaborate with data scientists, analysts, and other engineers to support business initiatives. Must-Have Skills: Strong hands-on experience with AWS services: S3, Lambda, Glue, API Gateway, SQS Proficiency in Python, PySpark, and SQL Experience with batch job scheduling and managing data dependencies Strong knowledge of Spark and Airflow for data processing and orchestration Solidunderstanding of DevOps practices and operational support for cloud data services Good to Have: Experience with containerization (Docker, Kubernetes) Exposure to monitoring/logging tools (CloudWatch, Datadog, etc.) AWS certifications (e.g., Solutions Architect, Data Analytics Specialty)