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