4 Etl Platforms Jobs

You will be supporting the Network Design COE by developing robust data, analytics, and modeling frameworks to facilitate strategic and tactical decision-making. Your responsibilities will include developing and managing global supply chain network models using tools like Llamasoft (SCGX), Optilogic, or AIMMS to optimize manufacturing, sourcing, distribution, and inventory flows. Collaborating with the Advanced Analytics & Data Science team to create and maintain a centralized Supply Chain Modeling Database is crucial. Additionally, you will enhance and maintain automation frameworks to ensure seamless refresh and scalability of network models. It is essential to build and promote supply chain network visualization capabilities across the organization using tools such as Power BI or Tableau. Conducting scenario analysis to assess cost, service, and risk trade-offs to support strategic initiatives like greenfield/brownfield studies and sustainability-driven redesigns will also be part of your role. You will be responsible for setting up Standard Operating Processes (SOPs) and driving process improvements by identifying and implementing changes that eliminate non-value-added activities and align with industry best practices. Auditing the effectiveness and sustainability of improvement initiatives is necessary to ensure long-term value realization. Contributing to the development of standardized methodologies and documentation for network design and optimization processes will be essential. Collaboration with all relevant teams and functions is crucial for effective working. Developing and maintaining strong relationships with internal stakeholders across Sourcing, Logistics, Manufacturing, and Finance is key. Understanding stakeholder requirements and translating them into actionable network design strategies is a critical aspect of the role. Forecasting growth opportunities, preparing capability roadmaps, and building future-ready supply chain design competencies will also be part of your responsibilities. You will lead and support global purchasing support enhancement projects to ensure alignment with broader supply chain strategies. Defining, tracking, and publishing key performance indicators (KPIs) and metrics that reflect the effectiveness and impact of the network design function is essential. Using data-driven insights to promote continuous improvement and strategic alignment is crucial for success. For this role, you must have 10-12 years of hands-on experience in supply chain analytics and network modeling, covering end-to-end design across manufacturing, sourcing, distribution, and inventory optimization. Proficiency in data manipulation tools like SQL, Alteryx, or other ETL platforms is required. Strong experience with data visualization tools such as Power BI or Tableau is necessary. Familiarity with network optimization tools like Llamasoft SCGX, Optilogic, AIMMS, or JDA SC Strategist is preferred. A solid understanding of supply chain domains including manufacturing, capacity planning, demand/supply planning, warehousing, and transportation is essential. Exposure to advanced modeling techniques in capacity planning, sourcing strategy, inventory optimization, and transportation network design is advantageous. Strong communication skills that can engage both technical and non-technical audiences are required. Experience working with ERP systems like SAP is a plus. Overall, we are looking for a candidate with 12+ years of experience in Supply Chain and/or related fields, who can fulfill the responsibilities outlined above effectively.,

This is a data engineer position where you will be responsible for designing, developing, implementing, and maintaining data flow channels and data processing systems to support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable, and secure manner in coordination with the Data & Analytics team. Your main objective will be to define optimal solutions for data collection, processing, and warehousing, particularly within the banking & finance domain. You must have expertise in Spark Java development for big data processing, Python, and Apache Spark. You will be involved in designing, coding, and testing data systems and integrating them into the internal infrastructure. Your responsibilities will include ensuring high-quality software development with complete documentation, developing and optimizing scalable Spark Java-based data pipelines, designing and implementing distributed computing solutions for risk modeling, pricing, and regulatory compliance, ensuring efficient data storage and retrieval using Big Data, implementing best practices for Spark performance tuning, maintaining high code quality through testing, CI/CD pipelines, and version control, working on batch processing frameworks for Market risk analytics, and promoting unit/functional testing and code inspection processes. You will also collaborate with business stakeholders, Business Analysts, and other data scientists to understand and interpret complex datasets. Qualifications: - 5-8 years of experience in working in data ecosystems - 4-5 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting, and other Big data frameworks - 3+ years of experience with relational SQL and NoSQL databases such as Oracle, MongoDB, HBase - Strong proficiency in Python and Spark Java with knowledge of core Spark concepts (RDDs, Dataframes, Spark Streaming, etc.), Scala, and SQL - Data integration, migration, and large-scale ETL experience - Data modeling experience - Experience building and optimizing big data pipelines, architectures, and datasets - Strong analytic skills and experience working with unstructured datasets - Experience with various technologies like Confluent Kafka, Redhat JBPM, CI/CD build pipelines, Git, BitBucket, Jira, external cloud platforms, container technologies, and supporting frameworks - Highly effective interpersonal and communication skills - Experience with software development life cycle Education: - Bachelors/University degree or equivalent experience in computer science, engineering, or a similar domain This is a full-time position in the Data Architecture job family group within the Technology sector.,

As a Big Data Architect working on a contract basis for a renowned client, you will be responsible for utilizing your expertise in technologies such as Hadoop, NoSQL, Spark, PySpark, Spark Time Streaming, Elastic Search, Kafka, Scala/Java, and ETL platforms including HBase, Cassandra, and MongoDB. Your primary role will involve ensuring the completion of surveys and addressing any queries promptly. You will play a crucial part in conceptualizing action plans by engaging with clients, Delivery Managers, vertical delivery heads, and service delivery heads. Your responsibilities will also include driving account-wise tracking of action plans aimed at enhancing Customer Satisfaction (CSAT) across various projects. You will be involved in conducting Quarterly pulse surveys for selected accounts or projects to ensure periodic check-ins and feedback collection. Furthermore, you will provide support to the Account Leadership teams in tracking and managing client escalations effectively to ensure timely closure. With over 10 years of experience and a solid educational background in Any Graduation, you will contribute to the success of projects in a hybrid work mode. Immediate availability to join is essential for this role based in Hyderabad.,

You should have at least 5-7 years of experience in data analysis, particularly in a supply chain or operations setting. Your proficiency in SQL and Python for data manipulation, automation, and analytics is a must. Experience with data transformation tools like Alteryx or similar ETL platforms is required, as well as hands-on experience with data visualization tools such as Power BI or Tableau. Proficiency in Excel, including advanced formulas and VBA scripting for automation, is also necessary. It would be beneficial if you are familiar with supply chain concepts like sourcing, inventory, transportation, and capacity planning. Previous experience working with large datasets from ERP systems like SAP and integrating data from various sources is highly valued. You should possess a strong analytical mindset with keen attention to detail and a passion for solving complex problems using data. Excellent communication skills are essential, with the ability to present insights clearly and effectively. Exposure to supply chain network modeling tools like Llamasoft or Optilogic would be an advantage. Experience with cloud-based data platforms such as Azure, AWS, or Fabric is also considered beneficial. Knowledge of data governance and master data management principles is a plus. Ideally, you should have a minimum of 7 years of overall experience in Supply Chain, Data Analysis, or a related field.,