Data Scientist
3 weeks ago
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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