Solution Architect ( Big Data ) Job Vacancy in Toll Group Pune, Maharashtra – Updated today

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Company Name : Toll Group
Location : Pune, Maharashtra
Position :

Job Description : Company Description
At Toll, we do more than just logistics – we move the businesses that move the world. Our 20,000 team members can help solve any logistics, transport, or supply chain challenge – big or small. We have been supporting our customers for more than 130 years. Today, we support more than 20,000 customers worldwide with 500 sites in 25 countries, and a forwarding network spanning 150 countries. We are proudly part of Japan Post — www.tollgroup.com

Job Description
At Toll Technology Centre, Pune (India), the BI & Analytics Engineer is responsible for designing and implementing innovative, high performance and scalable reporting/analytics solutions tailored to solving business issues by leveraging data across the Toll Group. The BI & Analytics engineer will implement complex big data projects with a focus on managing, transforming, analysing and visualizing large sets of data to turn information into insights using multiple platforms.
As a BI & Analytics engineer / Solution Architect , you will be:
Defining and building the data pipelines that will enable faster, better, data-informed decision-making within the business. Responsible for architecture, design, implementation, and/or support of complex application architectures. Understanding of the application of technologies to solve big data problems and to develop innovative big data solutions.
Design and develop highly scalable distributed analytics solutions for efficient analysis and insight generation, using different open source and proprietory tools. Provide input into BI & Analytics strategy based on identified trends and predicted outcomes. Adopt and implement continuous improvement program to continuously enhance and improve the BI & Analytics service offering and standards in line with the principle of better, simpler and more efficient
Keeps up with industry trends and best practices on new and improved data engineering strategies that will drive BI & Analytics CoE’s performance leading to operational efficiencies and improvements. Creates design specifications that demonstrate an understanding of most interfacing systems and supported business processes. Develop prototypes and proof of concepts for the selected analytics solutions. Leads innovation through exploration, benchmarking, making recommendations, and implementing big data technologies for BI & analytical platforms
Test and validate the accuracy of data transformations and data verification used in BI & analytics solutions, including unit testing, user acceptance testing and performance testing. Promotes and supports proper data governance and quality. Analyses complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models.
Identifies data sources relevant to solving business problems and help design the optimal combination of data sources and analytical techniques. Understanding the quality of data sourced, its management, and liaising with data scientists, report developers and other BI & Analytics CoE experts to management the impact of data quality issues. Drive collection of new data and the refinement of existing data sources. Understand and safeguard Toll master data.
Evaluate the needs and requirements of projects or problems and provide technical expertise in the development of the solutions within the BI & Analytics CoE. Ensure solutions meet functional and non-functional requirements including reliability, scalability, maintainability, cost to deliver, etc.. Interactively analyse and manipulate data using a variety of data analysis and data mining tools. Translate visualisation designs into physical solutions. Ensure effective communication and stakeholder management through the delivery cycle. Maintain solution documentation as appropriate. Comply with Toll policy and procedures in line with risk and security protocols
To be successful in this role, you will need:
Total relevant experience to be in the range of 8 to 12 years. Proficient in – Big Data technologies like Hadoop, Sqoop, Hive, HiveQL, Impala, Hue, Oozie, HDFS, Spark, MapReduce, Blaze. Proficient in – Informatica Big Data Engineering 10.4.1.
Intermediate knowledge of – ADLS Gen 2, AZURE Data Factory, AZURE Data Bricks, AZURE synapse, AZURE Event Hub, AZURE Stream Analytics, SQL Server familiarity, AZURE DevOps, AZURE Purview or an equivalent Data catalogue tool familiarity
Architecture, design, implementation, and/or support of complex application architectures (i.e. having an architectural sense for connecting data sources, data visualization, structured and unstructured data, etc
Experience working with relational databases such as SQL, Oracle.
Experience with relational data modelling database packages such as Oracle, SQL Server, Sybase or DB2
Experience working in agile environment. Experience in working in both on premise and cloud-based platforms
Be Connected
With a bold vision and innovative drive, join our 20,000 colleagues as we lead industry change and transform how customers best meet their global supply chain needs in a meaningful and sustainable way. There are countless opportunities to learn and make a real impact in shaping our industry’s future. Grow with diverse challenges amongst a friendly and inclusive global culture. Take pride in building relationships that matter, because being connected is at the centre of what makes Toll great – it’s what makes our possibilities endless.
Toll embraces and celebrates a variety of cultures. We continue to build a business that reflects the values of equality, built on the knowledge and understanding that everyone is welcome including the First Nations Peoples and those of all ages, genders and abilities.
If this sounds like the opportunity you are looking for, apply now.
To find out more about us visit www.tollgroup.com/careers
You must be entitled to work in India and be prepared to undertake pre-employment checks including a criminal history check and medical.

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