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Apply in 3 Minutes : Data Scientist

Apply in 3 Minutes : Data Scientist

TrantorIndia
7 days ago
Job description

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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