Senior Data Engineer

ProArch

Senior Data Engineer developing scalable cloud-based data solutions for analytics at ProArch. Collaborating on enterprise-level projects using Azure technologies.

Posted 7/23/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and optimizing scalable data pipelines using Azure Synapse Analytics, SQL, and Python, while ensuring data quality and performance optimization. Proven ability to implement CI/CD pipelines and DataOps practices, along with strong data modeling skills for enterprise-level data platforms.

Highest-signal resume keywords

Azure Synapse AnalyticsSQL Performance TuningDataOps ImplementationDimensional ModellingCI/CD Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringPython ProgrammingSQL DevelopmentData ModellingPerformance OptimizationData Quality AssuranceAzure Data FactoryAzure Data LakeSpark Performance TuningCloud Cost Optimization

Soft Skills

Excellent CommunicationAnalytical SkillsTroubleshooting SkillsMentoring

Tools & Technologies

Microsoft AzureAzure Synapse AnalyticsAzure Data FactoryAzure Data LakeMicrosoft FabricPower BI

Industry Keywords

Data GovernanceCloud-Native Data EngineeringEnterprise Data PlatformsSlowly Changing DimensionsData Warehouse Design

Tech Stack

Tools & technologies

AzureCloudPythonSparkSQL

About the role

Key responsibilities & impact

Design, develop, and optimize scalable data pipelines using Azure Synapse Analytics, Spark Pools, Azure Data Factory (ADF), and Azure Data Lake.
Develop high-performance solutions using SQL and Python, ensuring scalability, maintainability, and optimized query performance.
Build and manage modern data platforms on Microsoft Azure, supporting structured and unstructured data ingestion at enterprise scale.
Design and implement robust data models, including dimensional modelling and Slowly Changing Dimensions (SCD), to support reporting and analytics.
Optimize data partitioning, indexing, storage, versioning, and compute costs for large-scale cloud workloads.
Implement CI/CD pipelines and adopt DataOps best practices for automated deployment, testing, and monitoring.
Ensure data quality through unit testing, validation frameworks, and automated quality checks.
Collaborate directly with clients, business stakeholders, architects, and cross-functional teams to gather requirements, design solutions, and provide technical guidance.
Troubleshoot production issues, perform root cause analysis, and recommend performance improvements.
Mentor junior engineers by promoting engineering best practices, code quality, and technical excellence.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.
5–8 years of experience in Data Engineering with strong expertise in enterprise cloud data platforms.
Strong hands-on experience with SQL and Python, including performance tuning and optimization.
Extensive experience with Azure Synapse Analytics, Azure Data Factory (ADF), Azure Data Lake, and other Azure data services.
Good understanding of Microsoft Azure architecture and cloud-native data engineering practices.
Experience with Microsoft Fabric is preferred.
Strong evidence of data modelling expertise, including dimensional modelling, star/snowflake schemas, Slowly Changing Dimensions (SCD), and data warehouse design.
Experience working with large-scale datasets involving high volume, velocity, and variety.
Hands-on experience implementing CI/CD pipelines and DataOps practices.
Strong analytical and troubleshooting skills with a focus on performance optimization.
Excellent communication skills with proven experience working directly with clients, understanding business requirements, conducting technical discussions, and delivering customer-focused solutions.
Good to Have Skills:
Experience with Microsoft Fabric, Lakehouse, and OneLake.
Knowledge of Delta Lake, versioned data, and advanced partitioning strategies.
Experience implementing data governance, security, and compliance frameworks.
Exposure to cloud cost optimization strategies across storage and compute.
Experience with Spark performance tuning and distributed data processing.
Familiarity with Power BI integration and enterprise analytics platforms.
Experience mentoring junior engineers or leading technical initiatives.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account ProArch Website LinkedIn All Job Openings 201 - 500 employees 🤖 Artificial Intelligence 🔒 Cybersecurity Artificial Intelligence
Cybersecurity
Cloud ProArch is a technology company that specializes in providing digital engineering, cloud services, data and AI solutions, and cybersecurity measures. They help businesses unleash their full potential by modernizing operations, protecting assets, and delivering data-driven insights. ProArch works closely with clients to eliminate roadblocks to growth and aligns advanced technology solutions with business goals to empower organizational success. As an award-winning Microsoft Gold Partner, they offer a wide range of services including AI consulting, software development, quality assurance, infrastructure management, governance, risk, and compliance solutions, and operational technology services. Their expertise extends to industries such as credit unions, power generation, and manufacturing, providing tailored solutions to meet each sector's unique challenges. Senior Data Engineer 🔥 1 hour ago 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 🚰 Data Engineer Azure Cloud Python Spark SQL Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, develop, and optimize scalable data pipelines using Azure Synapse Analytics, Spark Pools, Azure Data Factory (ADF), and Azure Data Lake.
Develop high-performance solutions using SQL and Python, ensuring scalability, maintainability, and optimized query performance.
Build and manage modern data platforms on Microsoft Azure, supporting structured and unstructured data ingestion at enterprise scale.
Design and implement robust data models, including dimensional modelling and Slowly Changing Dimensions (SCD), to support reporting and analytics.
Optimize data partitioning, indexing, storage, versioning, and compute costs for large-scale cloud workloads.
Implement CI/CD pipelines and adopt DataOps best practices for automated deployment, testing, and monitoring.
Ensure data quality through unit testing, validation frameworks, and automated quality checks.
Collaborate directly with clients, business stakeholders, architects, and cross-functional teams to gather requirements, design solutions, and provide technical guidance.
Troubleshoot production issues, perform root cause analysis, and recommend performance improvements.
Mentor junior engineers by promoting engineering best practices, code quality, and technical excellence. 🎯 Requirements
Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.
5–8 years of experience in Data Engineering with strong expertise in enterprise cloud data platforms.
Strong hands-on experience with SQL and Python, including performance tuning and optimization.
Extensive experience with Azure Synapse Analytics, Azure Data Factory (ADF), Azure Data Lake, and other Azure data services.
Good understanding of Microsoft Azure architecture and cloud-native data engineering practices.
Experience with Microsoft Fabric is preferred.
Strong evidence of data modelling expertise, including dimensional modelling, star/snowflake schemas, Slowly Changing Dimensions (SCD), and data warehouse design.
Experience working with large-scale datasets involving high volume, velocity, and variety.
Hands-on experience implementing CI/CD pipelines and DataOps practices.
Strong analytical and troubleshooting skills with a focus on performance optimization.
Excellent communication skills with proven experience working directly with clients, understanding business requirements, conducting technical discussions, and delivering customer-focused solutions.
Good to Have Skills:
Experience with Microsoft Fabric, Lakehouse, and OneLake.
Knowledge of Delta Lake, versioned data, and advanced partitioning strategies.
Experience implementing data governance, security, and compliance frameworks.
Exposure to cloud cost optimization strategies across storage and compute.
Experience with Spark performance tuning and distributed data processing.
Familiarity with Power BI integration and enterprise analytics platforms.
Experience mentoring junior engineers or leading technical initiatives. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Full Stack Data Engineer 🔥 3 hours ago Dun & Bradstreet 5001 - 10000 🤝 B2B 🏢 Enterprise 💸 Finance Website LinkedIn All Job Openings Full Stack Data Engineer designing and developing cloud-based services for Trade data lifecycle. Collaborating with Trade Operations teams to automate processes and improve data quality. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer AWS Azure Cloud EC2 ETL Google Cloud Platform Java MariaDB MySQL PHP Python SQL Senior Data Engineer 🔥 15 hours ago Warner Bros. Discovery 10,000+ employees 📱 Media 📡 Telecommunications Website LinkedIn All Job Openings Senior Data Engineer responsible for cloud-native solutions enhancing ad technology stack at Warner Bros. Discovery. Involves designing ETL pipelines, collaborating with teams, and mentoring juniors. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 🚰 Data Engineer Cloud Distributed Systems ETL Java JavaScript Kafka NoSQL Python Scala Spark SQL Lead Data Engineer, Sr. Specialist 🕒 Yesterday MSD 10,000+ employees 🧬 Biotechnology 💊 Pharmaceuticals ⚕️ Healthcare Insurance Website LinkedIn All Job Openings Lead Data Engineer architecting scalable data platforms for a global healthcare biopharma company. Focusing on data engineering solutions, cloud services, and team collaboration. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 🚰 Data Engineer Airflow Amazon Redshift Apache AWS Cloud Python Spark SQL Senior GCP Data Engineer 🕒 2 days ago Dun & Bradstreet 5001 - 10000 🤝 B2B 🏢 Enterprise 💸 Finance Website LinkedIn All Job Openings Senior Data Engineer working at Dun & Bradstreet, designing and optimizing large-scale data systems for complex datasets to enhance identity graph. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 🚰 Data Engineer Amazon Redshift AWS BigQuery Cloud Distributed Systems Docker ETL Google Cloud Platform Kubernetes Postgres Python SQL Lead, Data Engineering 🕒 5 days ago S&P Global 10,000+ employees 💸 Finance 🏢 Enterprise 🤖 Artificial Intelligence Website LinkedIn All Job Openings Senior Data Engineer supporting offshore team in India by executing data pipeline onboarding and migration. Collaborating with Databricks team for operational excellence in the data platform. 🏢🏡 Hyderabad – Hybrid ⏰ Full Time 🟠 Senior 🚰 Data Engineer Apache AWS Cloud ETL Python Spark SQL Unity View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs