Job Description

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Position responsibilities and expectations . Stakeholder facing role across different functions of the organizations (e.g., Marketing, Finance, Logistics, Procurement, Customer, Supply Chain) to develop analyses that lead to actionable insights to accelerate profitable growth . Strong data representation and lucid presentation (of analysis/modeling output) using PowerPoint, Excel etc. . Conceptualize solution to business problems using advanced analytics techniques and deliver independently or along with a small team . Maintain and optimize data pipelines so that our database is a source of truth for decision making . Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development. . Establish architecture for real-time, global data and metric visualization tools Technical Skills required . Must have hands-on experience in Python. . Lead and Develop multiple development projects utilizing Azure Environment . Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Databricks Azure Data Catalog, Logic-Apps etc.Strong programming experience specially on Python/pySpark and SQL . Good understanding of Hadoop Framework including MapReduce concepts and parallel . Knowledge of enterprise application integration techniques . Hands-on experience of all the important Azure Services used in any standard data engineering solution . Well versed in Azure DevOps, CI/CD deployments. Consulting skills required . Excellent Comprehension, Written and Oral Communication skill . Experience in handling a small team remotely . Conceptualizing solution to business problems using advanced analytics techniques and identifying data requirements . Positive, people-oriented, and energetic attitude Degrees/Certifications Earned . B.Tech / M.Tech (CS/ Mathematics & Scientific Computing) . M.Sc. / M.Stat/ MS (Statistics / Mathematics) Others . 4 - 10 years\' experience in Data Engineering . Open for domestic and international travels . Location preferred: Gurgaon/ Mumbai/ Bangalore/Hyderabad/ Chennai/ Ahmedabad/ Pune Mandatory Skill Set- Python / Pyspark, Azure, Synapse, ADLS, ADF Preferred Skill Set- Python / Pyspark, Azure, Synapse, ADLS, ADF Year of experience required- 4-8 Qualifications- BE, B.Tech Education Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications Required Skills Microsoft Azure, PySpark, Python (Programming Language) Optional Skills Desired Languages Travel Requirements Available for Work Visa Sponsorship Government Clearance Required Job Posting End Date

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