Sourced is a global cloud consultancy that helps enterprises make the most of cloud services with a focus on security, governance and compliance. With offices around the globe, we provide professional services for securing, migrating and managing the cloud infrastructure of large enterprise customers. We specialize in configuration management, automation, cloud computing, security and data management for a wide range of industries, including financial services, media, and telecommunications companies. By utilising our proven deployment frameworks, managed services, and trusted design patterns, we work with the largest and most security conscious organisations to unlock innovation through cloud computing.As market leaders in Enterprise Cloud Transformation, we have top tier partner status with major cloud platform providers including AWS, Google and Microsoft Azure.Sourced has recently joined the Amdocs Cloud Business Unit to accelerate innovation and amplify our delivery of professional services. Amdocs provides software and services to more than 350 communication and media providers in over 80 countries, has more than 40 years of industry experience and welcomes Sourced to its team of 26,000 employees.Sourced Values - Integrity, Innovation, Service, Quality, Humility, SustainabilityThis position a critical role our newly formed Global Delivery Centre based out of the Amdocs Pune office. This role sits in the Cloud Business Unit of Amdocs and is pivotal to driving delivery for our customers across the globe. This role will provide data governance and engineering support in various data analytics projects within enterprise highly regulated client environments. This role will assist the leadership in both analysing and formulating the business problems as well as identifying and developing the end-to-end analytics solution. The right candidate will be one excited by opportunities to apply advanced analytics techniques to help our clients get insights from their data using public cloud.Do you enjoy owning advanced analytics and data engineering solutions? Are you ready to help our clients with their data platform transformation, lead design sessions and implementation of projects? Are you ready to innovate, contribute to our team culture and grow your consulting skills?Please note that this role can be based in Pune or Gurgaon.Graduates and Interns will not be considered for this role. Must have 5 to 10 years of relevant experience in industry.What you’ll be responsible forApply cutting edge technologies and tools in big data and machine learning to build, manage and automate pipelines for data pipelines and analytics platform.Build production grade end-to-end analytics solution to solve business challenges together with Data Engineering, Data Scientists and business teams.Creation of data governance blueprint and reference architecture for various analytics use cases.Study and evaluate the state-of-the-art technologies such as cloud based optimized computing clusters, serverless data processing, and frameworks of data engineering, and establish, apply and maintain best practices and principles of data engineering.Perform code reviews to improve the quality of data pipelinesMonitor and evolve data analytics platforms to support business driven use cases and new consumption patterns.What you will bring to the role.Bachelor’s or Master’s Degree in Software Engineering, Computer Science or related fields5 to 10 years of experience in industry (ideally banking, ecommerce, telecoms, retail, and consulting) with demonstrated track record of leveraging advanced analytics to achieve business impact.At least 3 years of experience in data mining and machine learning on large amount of data, and multi-tier software application designExcellent understanding of software & data engineering principles and design patterns.Familiar with tools such as Anaconda, Jupyter, Eclipse, Jira, Git, SVN, Jenkins, etcGreat programming skills in Python (Pandas, SciPy, NumPy, PySpark, etc), Scala, Java, SQL, Shell ScriptExperience with traditional data analytics platform stack (Hadoop, Hive, HBase, Spark, Flink, Kafka, Presto, Airflow, etc), and / or cloud (AWS) based analytics services (Amazon Kinesis Data Streams, AWS EMR, AWS Glue etc…) and structured (SQL) and unstructured databases (Graph Database, NoSQL).Familiar with industry paradigms and standards for model development, validation and testing and have developed and implemented large-scaled machine learning solutions from end to end.Strong in problem-solving, being resourceful with end to end critical thinking to find out solutions even in unfamiliar scenarios.Good communication and project management skills.Demonstrated strong interests in learning about Data Governance, Analytics & Machine Learning through own initiativesWhy Sourced?Sourced offers huge growth opportunities in an innovative, collaborative and inclusive environment. We provide individual career development plans, su