FULLTIME
Sr Analyst - Data Engineering
LatentView Analytics
Not specified · onsite · Posted 36d ago
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Undisclosed2–5 yrsfulltimeNot specified
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Section · 01
About this role
About LatentView Analytics
Role Overview
Key Responsibilities
Skills Experience
Good to Have(any one)
Qualifications
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Founded in 2006, LatentViewAnalytics began with a shared passion for the world of data. Today, over 20years on, we've grown into a close-knit community of people united by that samedrive solving real business challenges with data and AI. We work withindustry leaders worldwide, specializing in end-to-end analytics that goesbeyond the buzzwords to deliver genuine business impact. Our focus has stayedconsistent since day one: helping clients derive meaningful insights and drivegrowth through a thoughtful, sustainable approach to data analytics and AI.
Role Overview
We are hiring Data Engineers towork across pipeline development, cloud data platforms, data modeling, andorchestration functions supporting our clients. You will design and build thedata infrastructure that powers analytics, reporting, and AI/ML initiatives,working closely with Data Architects, Data Scientists, and businessstakeholders. The specific focus of your role cloud platform, specialization,and scope of ownership will be matched to your experience and skills.
Key Responsibilities
Design, develop, and maintainscalable ETL/ELT data pipelines to ingest, transform, and load data fromdiverse sources
Write and optimize advancedSQL queries for data extraction, transformation, validation, and reporting
Build and maintain datamodels, warehouses, and semantic layers to support analytics, reporting, anddownstream consumption
Work with cloud dataplatforms and services to enhance data processing, storage, and scalability
Automate and orchestrateend-to-end data workflows using tools such as Airflow, dbt, Cloud Composer, orData Factory
Collaborate withcross-functional stakeholders Data Architects, Data Scientists, Analysts, andbusiness teams to translate requirements into technical solutions
Perform data validation,reconciliation, and quality checks to ensure accuracy, consistency, andgovernance across pipelines
Document data pipelines,schemas, and technical processes to support knowledge sharing andmaintainability
Troubleshoot pipelinefailures, performance bottlenecks, and data quality anomalies
Mentor junior engineers andcontribute to best practices, code reviews, and continuous improvement (scopematched to seniority)
Skills Experience
410 years of relevantexperience in Data Engineering, Data Pipeline Development, or a related field
Advanced SQL complex joins,CTEs, window functions, and query performance optimization
Hands-on proficiency inPython and/or PySpark for data transformation, automation, and processing
Proven experience buildingand maintaining ETL/ELT pipelines end-to-end
Hands-on expertise in atleast one cloud data platform (AWS, GCP, or Azure) and its associatedwarehouse/lake service (Snowflake, BigQuery, Databricks, or Microsoft Fabric)
Experience with workfloworchestration tools (Airflow, dbt, Cloud Composer, Data Factory, or similar)
Strong problem-solving skillsand the ability to collaborate effectively with technical and non-technicalstakeholders
Good to Have(any one)
Marketing/Media DataEngineering MLOps: Data mart andharmonization design across disparate sources, MLOps and model deployment,model monitoring, cost optimization
Unstructured Data GenAI-Adjacent Engineering (GCP): DocumentAI, Vertex AI, embeddings and vector search, semantic data modeling, AgenticAI/LangChain exposure
Cloud-Native PipelineEngineering (AWS): S3, Lambda, SNS, StepFunctions, NumPy/Pandas, independent end-to-end ownership as an individualcontributor
Databricks DataOps BI Enablement: Databricks and PySpark atscale, data validation and reconciliation, BI tool exposure (Power BI, Tableau,or Looker), Git/CI-CD discipline
Microsoft Fabric PlatformEngineering: Data Factory/Dataflows Gen2,Medallion architecture (Bronze/Silver/Gold, Delta Lake, OneLake), Power BIDAX/Direct Lake, real-time streams (Eventstreams/KQL), Purview governance
Team DeliveryLeadership: Mentoring, code reviews,sprint/delivery ownership, cross-functional and business stakeholder management
Qualifications
Bachelor's or Master's degreein a quantitative field (Computer Science, Engineering, or related) orequivalent practical experience
Strong analytical,problem-solving, and communication skills
LatentView Analytics is an equal opportunity employer and valuesdiversity in the workplace.
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
data extractionAutomationadvanced sqlcloud platformamazon web servicesdata infrastructureapache airflowbigqueryCloud ComposerAnalyticsCloud DataData AnalyticsData EngineeringcloudCommunication SkillsArchitectureMicrosoft AzureGoogle ComposerArtificial Intelligence
Section · Company
About LatentView Analytics
LatentView Analytics
IT Services & Consulting
958
employees
2006
20 years old
Chennai, Tamil Nadu
India
₹11.9L PA avg
Avg at LatentView Analytics
About
LatentView Analytics designs and engineers result-oriented analytics solutions, which enable to make intelligent decisions.
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