Data Scientist

Shift Timings: UK Shift Location: Noida office (Hybrid) In this role, we are seeking a data engineer to design, implement, and optimize cloud-based data pipelines using Microsoft Azure services including ADF, Synapse, and ADLS. Responsibilities ● Collaborate with our business analytics and data science teams, gathering requirements and delivering complete business intelligence solutions ● Mentor junior software developers and build a strong team ● Model data and metadata to support discovery, ad-hoc, and pre-built reporting ● Design and implement data pipelines using Hadoop, Spark, and Azure services such as Blob Storage, SQL Database, Event Hubs, Data Factory, Synapse Analytics, and Databricks ● Should be able to write Programs & Scripting, Strong in SQL, Proficiency in Python or Scala. Experience with PowerShell or Azure CLI for automation is a plus ● Partner with security, privacy, and legal teams to deliver solutions that comply with security and privacy policies ● Own the design, development, and maintenance of datasets our business analytics teams will use to drive key business decisions ● Develop and promote standard methodologies in data engineering, including scalability, reusability, maintainability, and usability ● Tune and ensure compute performance by optimizing queries, databases, files, tables, and processes ● Ensure data and report service level agreements are met ● Analyze and solve problems at their root, stepping back to understand the broader context ● Own continuous engineering operational excellence of the datasets that drive key business decisions ● Learn and understand a broad range of data resources and know when, how, and which to use and which not to use ● Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with increased data volume using Azure ● Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets ● Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment Qualifications we seek in you! Minimum Qualifications / Skills ● Bachelor’s degree in computer science or related technical field ● 10+ years of experience in data architecture and business intelligence ● 5+ years of experience in developing solutions in distributed technologies such as Hadoop, Spark ● Experience in delivering end-to-end solutions using Azure services – Blob Storage, SQL Database, Event Hubs, Data Factory, Synapse Analytics, and HDInsight ● Experience in programming using Python, Java, or Scala ● Expert in data modeling, metadata management, and data quality ● SQL performance tuning ● Strong interpersonal and multitasking skills with the ability to balance competing priorities ● Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams ● An ability to work in a fast-paced ambiguous environment where continuous innovation is occurring ● Experience with a business intelligence reporting tool Preferred Qualifications/ Skills ● Experience with Databricks for advanced analytics and data processing ● Understanding of well-architected data pipeline designs ● Expertise in monitoring and fault-tolerant pipeline designs ● Knowledge of cluster configuration for optimal performance ● Ability to create cost-optimal solutions ● Experience in exploratory data analysis (dashboarding, plotting) using machine learning technologies and algorithms is desirable ● Good knowledge of standard machine learning techniques (like regression, classification, anomaly detection, forecasting) by using standard machine learning libraries part of Spark, Python is desirable ● Prior experience in gen AI and related tools and techniques (such as large language models, prompt engineering) is desirable ● Having a relevant Azure certification (architecture/data/machine learning) is desirable

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