Sr Analyst - Data Engineering

About LatentView Analytics

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.