snowflake data engineer

CAI (Computer Aid, Inc.)

Req number: R6501
 
Employment type: Full time
 
Worksite flexibility: Onsite Who we are
 CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.
 
Job Summary We are looking for a motivated Snowflake Data Engineer ready to take us to the next level! If you understand Snowflake, ETL, Oracle (PL/SQL) and PostgreSQL, AWS, Azure and are looking forward to your next career move, apply now
 
Job Description
 We are looking for Snowflake Data Engineer . This position will be full-time and onsite Gurugram.
 
What You’ll Do
 Design, develop, and optimize ETL/ELT pipelines in Snowflake for data ingestion, transformation, and loading.
 Build and maintain CDC (Change Data Capture) pipelines to support incremental data updates and real-time data synchronization.
 Develop and maintain data marts to support Spotfire dashboards and other analytical workloads.
 Integrate and migrate data from Oracle and PostgreSQL databases into Snowflake.
 Write, review, and optimize complex SQL, PL/SQL, and PostgreSQL queries for data analysis and transformation.
 Collaborate with BI developers and business users to understand reporting requirements and deliver efficient data structures.
 Implement best practices for data modeling, query performance tuning, and warehouse optimization in Snowflake.
 Manage Snowflake environments, including warehouses, user roles, security, and cost optimization.
 Ensure data quality, accuracy, and consistency across all systems and pipelines.
 Work closely with data governance and operations teams to maintain compliance and metadata integrity.
 
What You'll Need
 
Required: 
Bachelor’s or master’s degree in computer science, Information Technology, or a related field.
 2+ years of experience in data engineering or data warehousing roles.
 Strong hands-on experience with Snowflake, including schema design, Snowpipe, Streams, Tasks, and CDC pipelines.
 Solid working experience with Oracle (PL/SQL) and PostgreSQL, including query writing, tuning, and data extraction.
 Advanced SQL skills for building, debugging, and optimizing complex queries.
 Experience designing data marts and preparing data models for Spotfire or other BI tools.
 Scripting knowledge in Python for automation and data processing.
 Understanding of cloud environments (AWS, Azure).
 Strong analytical thinking and problem-solving abilities.
 
Preferred Skills (Nice to Have): 
Experience with Spotfire data integration and dashboard optimization.
 Exposure to real-time/streaming data frameworks.
 Familiarity with CI/CD pipelines and DevOps practices for data workflows.
 Knowledge of data governance, lineage, and metadata management.
 
Physical Demands
 Sedentary work that involves sitting or remaining stationery most of the time with occasional need to move around the office to attend meetings, etc.
 Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor.
 
Reasonable accommodation statement
 If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Snowflake Data Engineer

VaporVM

<div><div><div>Date Posted:</div>
20 October, 2025</div>
<div><div>Industry:</div>
IT Services and IT Consulting</div>
<div><div>Location:</div>
VAPORVM IT SERVICES DMCC</div></div>
 <div><h2 class="jobSectionHeader">Job Description:</h2>
<div><h3 class="jobSectionHeader">Role Overview:</h3>

We are seeking one to two experienced Snowflake Data Engineers to join our team in Riyadh. The ideal candidates will have a strong grasp of Snowflake architecture, data warehousing, and workflow automation, with hands-on experience in big data and cloud integration.
<h3 class="jobSectionHeader">
Key Responsibilities:</h3>
<ul><li>Design, develop, and optimize data pipelines and transformations within Snowflake.
</li><li>Work with Virtual Warehouses, Snowpipe, Streams, and Tasks to manage data workflows.
</li><li>Implement data models and ensure performance tuning and query optimization.
</li><li>Automate workflows using Apache Airflow or Luigi.
</li><li>Integrate Snowflake with GCP and other big data tools like Apache Spark, Hadoop, and Kafka.
</li></ul><h3 class="jobSectionHeader">Requirements:</h3>
<ul><li>Proven experience working with Snowflake architecture and SQL.
</li><li>Strong understanding of data warehouse concepts and modeling.
</li><li>Familiarity with GCP and workflow automation tools.
</li><li>Experience with big data ecosystems (Spark, Hadoop, Kafka).</li></ul></div></div>

SnowFlake Engineer

Pontoon Global Solutions

Job Title: Snowflake Specialist (SAP Data Integration) Location: Offshore (Remote) Working Hours: 2:00 PM &ndash; 11:00 PM ISTSummary: Seeking an experienced Snowflake &amp; SAP Data Integration Specialist to design and implement large-scale enterprise data solutions. The role requires deep expertise in SAP data extraction, replication, and Snowflake architecture.Mandatory Skills &amp; Experience:<ul><li>7&ndash;12 years in data engineering with strong SAP and Snowflake experience.</li><li>Proven expertise in SAP data extraction/integration with modern data platforms.</li><li>Hands-on with data replication tools &ndash; preferably SNP Glue, SAP SLT, or Qlik Replicate.</li><li>Strong understanding of SAP ECC/S4 data models (Procurement, Sales, Finance).</li><li>Deep knowledge of Snowflake architecture, performance tuning, and security.</li><li>Experience designing and building end-to-end Snowflake solutions.</li><li>Excellent communication and remote collaboration skills.</li></ul>Nice to Have:<ul><li>Exposure to Snowpark, AI/ML integrations, and Cortex.</li></ul>Job Type: Full-timePay: &#8377;1,800,000.00 - &#8377;2,400,000.00 per yearApplication Question(s):<ul><li>How do you extract and replicate SAP ECC/S4 data into Snowflake?</li><li>What are your key strategies for optimizing Snowflake performance?</li><li>Describe an end-to-end SAP-to-Snowflake data pipeline you&rsquo;ve built.</li></ul>Work Location: Remote

Snowflake Developer (SAP Data Integration)

Squarera

We are looking for a motivated Snowflake Developer with 1&ndash;3 years of experience in data engineering and cloud-based data warehousing. The ideal candidate should have strong SQL skills, hands-on experience with Snowflake features, and a solid understanding of modern ETL/ELT processes.You will be responsible for building and optimizing scalable data pipelines, ensuring high data quality, and supporting analytics and reporting requirements across teams.Key Responsibilities:<ul><li>Develop, implement, and maintain data warehouse solutions using the Snowflake Cloud Data Platform.</li><li>Build and optimize ETL/ELT pipelines using tools such as dbt, Airflow, or Azure Data Factory.</li><li>Design and maintain data models, schemas, and transformations for analytics and reporting.</li><li>Implement data performance optimization, partitioning, and clustering strategies in Snowflake.</li><li>Manage data access, roles, and security policies.</li><li>Integrate Snowflake with cloud storage and BI tools like Power BI, Tableau, or Looker.</li><li>Troubleshoot and resolve issues in data ingestion, transformation, and performance.</li></ul>Required Skills &amp; Experience:<ul><li>1&ndash;3 years of experience as a Snowflake Developer or Data Engineer.</li><li>Strong command over SQL and data modeling concepts (star/snowflake schema).</li><li>Practical experience with Snowflake architecture (warehouses, Snowpipes, Streams, Tasks, etc.).</li><li>Familiarity with cloud environments (AWS, Azure, or GCP).</li><li>Experience working with structured and semi-structured data (JSON, Parquet, etc.).</li><li>Basic knowledge of Python for scripting and data manipulation.</li><li>Good understanding of ETL/ELT workflows and best practices.</li></ul>Preferred Qualifications:<ul><li>SnowPro Core Certification (a plus).</li><li>Experience in CI/CD pipelines and version control (Git, Jenkins).</li><li>Exposure to data governance and security compliance processes.</li></ul>Benefits:<ul><li>Market-competitive salary</li><li>Opportunity for international travel</li><li>Medical coverage</li><li>Annual performance-based bonus</li><li>Collaborative and innovative work environment</li></ul>Job Type: Full-timeWork Location: In person

Snowflake Developer

Virtusa Lifespaces India Pvt Ltd

<div>Snowflake Developer 
ADF Developer ADF &amp; Snowflake (2 4 Years Experience) 
Key TechnologiesAzure Data Factory (ADF), Snowflake, SQL, Azure Services 
Job Summary 
We are seeking a motivated and detail-oriented Data Engineer with 2 4 years of experience in Azure Data Factory 
 
and Snowflake SQL to join our growing data engineering team. You will be responsible for building, maintaining, 
 
and optimizing data pipelines and integrating data from various sources to Snowflake. 
 
The ideal candidate has hands-on experience in developing ETL/ELT processes using ADF and writing efficient Snowflake SQL queries. 
Key Responsibilities 
Design, develop, and maintain scalable data pipelines using Azure Data Factory. 
Develop and optimize SQL queries and stored procedures in Snowflake. 
Integrate data from a variety of sources including on-premise and cloud systems. 
Create and manage data flows, linked services, datasets, and pipelines in ADF. 
Monitor and troubleshoot performance issues in data pipelines and databases. 
Work closely with business analysts and data scientists to understand data requirements. 
Ensure data quality and consistency across systems. 
Automate data load processes and manage scheduling and logging. 
 
Mandatory Skills 
 
ADF 
Snowflake<div> 
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</div></div>

Snowflake

Redlinux

Freelancing OpportunityJob Title: ETL Engineer/MLExperience: 7+ YearsJob OverviewWe are seeking a highly skilled Machine Learning / ETL Engineer to join our Business Intelligence IT team. The ideal candidate will design, develop, and optimize large-scale ETL/ELT pipelines, integrate diverse data sources, and apply Machine Learning frameworks for data quality and anomaly detection. You will collaborate closely with analysts, data scientists, and business stakeholders to deliver scalable, reliable, and actionable data-driven solutions.This is a critical role in ensuring data integrity, scalability, and performance of our enterprise data platforms across cloud environments such as Snowflake, AWS, and GCP.Key Responsibilities<ul><li>Design, architect, and implement robust, high-performance ETL/ELT pipelines for large-scale data processing.</li><li>Collect and integrate data from multiple sources (databases, APIs, web services) into data lakes or warehouses.</li><li>Develop and maintain scalable data processing solutions using Snowflake, AWS, and GCP platforms.</li><li>Implement data quality, anomaly detection, and monitoring systems using Machine Learning frameworks.</li><li>Optimize query performance and manage large-scale data models, schemas, and metadata.</li><li>Support data governance through documentation, access control, lineage tracking, and retention policies.</li><li>Collaborate with cross-functional teams (data scientists, analysts, engineers, and business units) to translate requirements into actionable technical solutions.</li><li>Participate in CI/CD and automation initiatives to streamline data workflows and improve efficiency.</li><li>Ensure data accuracy, reliability, and availability for analytical and reporting purposes.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>7+ years of experience in data warehouse architecture, ETL/ELT pipelines, and data engineering.</li><li>5+ years of experience in data modeling and writing advanced SQL queries across Snowflake, Oracle, and Columnar Databases.</li><li>Strong knowledge of data modeling, schema design, and data lakes.</li><li>Experience with AWS services such as S3, Lambda, and Data Pipeline.</li><li>Hands-on experience with Machine Learning algorithms for data quality and anomaly detection.</li></ul>Technical Skills<ul><li>Programming: Python, SQL</li><li>ETL Tools: Databricks, IBM DataStage (preferred)</li><li>Cloud Platforms: Snowflake, AWS, GCP, BigQuery</li><li>Data Processing Frameworks: Apache Spark (or equivalent big data tools)</li><li>Workflow Orchestration: Apache Airflow, AWS MWAA</li><li>DevOps Tools: CI/CD pipelines, automation frameworks</li><li>Data Architecture: Data lakes, warehouses, multi-cluster architecture, shareable data features</li><li>Bonus: Familiarity with Databricks, DataStage, and advanced Snowflake capabilities</li></ul>Job Types: Part-time, Freelance Contract length: 12 monthsPay: &#8377;30,000.00 - &#8377;40,000.00 per monthBenefits:<ul><li>Work from home</li></ul>Experience:<ul><li>total work: 6 years (Required)</li></ul>Shift availability:<ul><li>Night Shift (Required)</li><li>Overnight Shift (Required)</li></ul>Work Location: Remote

ETL Engineer

Folio3

<div><div>Folio3 needs an expert Senior Data Engineer ready to drive our data strategy&mdash;from Snowflake/Databricks architecture and governance to leading complex multi-cloud migration projects.
<h4 class="jobSectionHeader">
Responsibilities:</h4>
<ul><li>Design end-to-end data architectures across Snowflake, Databricks, AWS, Azure, and GCP.</li>
Lead migration or modernization projects (on-prem cloud or single<li> multi-cloud).</li>
<li>Define data modeling standards, governance, and cost-optimization strategies.</li>
<li>Collaborate with solution architects, AI/ML teams, and business stakeholders.</li>
<li>Manage data reliability, observability, and scalability of the platform.</li>
<li>Mentor junior and mid-level engineers.</li>
<li>Stay current on modern data stack trends (Data Mesh, Lakehouse, AI Integration).</li>
</ul><h4 class="jobSectionHeader">Requirements:</h4>
<ul><li>5-10+ years of progressive, hands-on experience in Data Engineering.</li>
<li>Design end-to-end data architectures across Snowflake, Databricks, AWS, Azure, and GCP.</li>
Lead migration or modernization projects (on-prem cloud or single<li> multi-cloud).</li>
<li>Define data modeling standards, governance, and cost-optimization strategies.</li>
<li>Collaborate with solution architects, AI/ML teams, and business stakeholders.</li>
<li>Manage data reliability, observability, and scalability of the platform.</li>
<li>Mentor junior and mid-level engineers.</li>
<li>Stay current on modern data stack trends (Data Mesh, Lakehouse, AI Integration).</li></ul></div></div>

Senior/Lead Data Engineer

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