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Data Engineer - Business Intelligence
Data Engineer - Business IntelligenceAVE QUEST • Noida
Data Engineer - Business Intelligence

Data Engineer - Business Intelligence

AVE QUEST • Noida
30+ days ago
Job description

Description :

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 :

  • 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, 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 we seek in you! : Qualifications / Skills :

  • Bachelors 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 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
  • (ref : hirist.tech)

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