data warehouse engineer

DICETEK LLC

<div>As a Data Integration &amp; Architecture Specialist, you will be a pivotal member of our data engineering and architecture team. You will play a crucial role in designing, implementing, and optimizing data integration solutions using data warehouse technologies. This position demands a strong understanding of Azure and Data warehouse solutions, data architecture principles, and the ability to design and administer robust data ecosystems.
Primary skills:
<ul><li>Azure, Delta Lake, Data Factory, DataBricks, Python/PySpark
</li><li>SAS DWH 
</li></ul> 
<ul><li>Bachelor's or master&rsquo;s degree in computer science, Information Technology, or a related field.
</li><li>Should have at least 4 years of experience in data engineering.
</li><li>Should possess at least 3 years of UAE banking experience.
</li><li>Candidates with Azure data products and data warehouse experience will be preferred
</li><li>Strong understanding of data warehousing concepts, ETL processes, and data governance.
</li><li>Knowledge of SQL for data manipulation and querying.
</li><li>Excellent problem-solving and troubleshooting skills.
</li><li>Strong communication and collaboration skills.
</li></ul>Certifications (Preferred):
<ul><li>Certified Data Integration Developer
</li><li>Azure Data Engineering Associate</li></ul></div>

Azure Data (warehouse) Engineer

Advansys

Key Responsibilities: 
<ul>
<li>Design, develop, and maintain ETL workflows and mappings using Informatica PowerCenter (or IICS).</li>
<li>Collaborate with business analysts, data architects, and stakeholders to gather and translate business requirements into technical solutions.</li>
<li>Develop and optimize data pipelines to extract, transform, and load data from multiple sources into the data warehouse.</li>
<li>Perform data quality checks, error handling, and performance tuning to ensure reliable and efficient data processing.</li>
<li>Maintain and enhance existing data warehouse architectures, including star/snowflake schemas, fact and dimension tables.</li>
<li>Implement and monitor job scheduling and workflow dependencies (e.g., using Control-M, Autosys, or Informatica Scheduler).</li>
<li>Support data governance, metadata management, and data lineage initiatives.</li>
<li>Troubleshoot and resolve ETL and data-related issues in production and development environments.</li>
<li>Participate in code reviews, unit testing, and deployment activities following DevOps or CI/CD practices.</li>
</ul>
Requirements: 
Qualifications : 
<ul>
<li>At least 4 years of hands-on experience in data integration and ETL using Informatica PowerCenter or Informatica Intelligent Cloud Services (IICS).</li>
<li>Proven experience in the design and implementation of Data Warehouses for large-scale enterprise projects.</li>
<li>Knowledge and practical experience with database systems such as Oracle, SQL Server, Snowflake, or equivalent platforms like SingleStore (MemSQL).</li>
</ul>
Technical Skills: 
<ul>
<li>Proficiency in designing and implementing ETL/ELT processes using Informatica tools.</li>
<li>Experience in data modeling, including the design and construction of Star Schema and Snowflake Schema models.</li>
<li>Ability to optimize query performance and manage large data volumes in SingleStore environments.</li>
<li>Experience in Data Quality Management, implementing data validation and auditing mechanisms.</li>
<li>Familiarity with BI/Analytics fundamentals and connecting data warehouses to reporting tools such as Power BI or Tableau.</li>
</ul>

Informatica Data Warehouse Engineer (Single Store)

Advansys ME

Key Responsibilities: 
Design, develop, and maintain ETL workflows and mappings using Informatica PowerCenter (or IICS).
 Collaborate with business analysts, data architects, and stakeholders to gather and translate business requirements into technical solutions.
 Develop and optimize data pipelines to extract, transform, and load data from multiple sources into the data warehouse.
 Perform data quality checks, error handling, and performance tuning to ensure reliable and efficient data processing.
 Maintain and enhance existing data warehouse architectures, including star/snowflake schemas, fact and dimension tables.
 Implement and monitor job scheduling and workflow dependencies (e.g., using Control-M, Autosys, or Informatica Scheduler).
 Support data governance, metadata management, and data lineage initiatives.
 Troubleshoot and resolve ETL and data-related issues in production and development environments.
 Participate in code reviews, unit testing, and deployment activities following DevOps or CI/CD practices.
 Requirements
 
Qualifications : 
At least 4 years of hands-on experience in data integration and ETL using Informatica PowerCenter or Informatica Intelligent Cloud Services (IICS).
 Proven experience in the design and implementation of Data Warehouses for large-scale enterprise projects.
 Knowledge and practical experience with database systems such as Oracle, SQL Server, Snowflake, or equivalent platforms like SingleStore (MemSQL).
 
Technical Skills: 
Proficiency in designing and implementing ETL/ELT processes using Informatica tools.
 Experience in data modeling, including the design and construction of Star Schema and Snowflake Schema models.
 Ability to optimize query performance and manage large data volumes in SingleStore environments.
 Experience in Data Quality Management, implementing data validation and auditing mechanisms.
 Familiarity with BI/Analytics fundamentals and connecting data warehouses to reporting tools such as Power BI or Tableau.

Apple

<div>The people here at Apple don&rsquo;t just build products - they build the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here. Are you passionate about handling large &amp; complex data problems, want to make an impact and have the desire to work on groundbreaking big data technologies? Then we are looking for you. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Apple's Global Business Intelligence team is looking for passionate, meticulous, technical savvy, energetic engineer who likes to think creatively. Apple's Enterprise Data warehouse team deals with Petabytes of data catering to a wide variety of real- time, near real-time and batch analytical solutions. These solutions are integral part of business functions like Retail, Sales, Operations, Finance, AppleCare, Marketing and Internet Services, enabling business drivers to make critical decisions. We use a diverse technology stack such as Snowflake, Spark, HANA, SingleStore, Kafka, Iceberg, Cassandra and beyond. Designing, developing and scaling these big data solutions are a core part of our daily job. 
 
Description 
<ul><li>As a Cloud Data Engineer you will design, develop and implement modern cloud based data warehouse/ data lakes and influence overall data strategy for the organization.
</li></ul> 
<ul><li>Translate complex business requirements into scalable technical solutions meeting data warehousing/analytics design standards.
</li></ul> 
<ul><li>Strong understanding of analytics needs and proactive-ness to build solutions to improve the efficiency along with that help implement leading data practices &amp; standards.
</li></ul> 
- Collaborate with multiple multi-functional teams and work on solutions which has larger impact on Apple business. - Ability to communicate effectively, both written and verbal, with technical and non- technical multi-functional teams.
 
 
<ul><li>You will get along with many other internal/external teams to deliver elite products in an exciting rapidly changing environment.
</li></ul> 
- Ability to manage partner communication &amp; project risks. - Thrives in a multifaceted environment, maintaining composure and a positive attitude. 
 
Preferred Qualifications 
High expertise in modern cloud warehouse, data lakes and implementation experience on any of the cloud platforms like AWS/GCP/Azure - preferably AWS. 
Experience working with data at scale (peta bytes) with big data tech stack and advanced programming languages e:g Python, Scala. 
Database development experience with Relational or MPP/distributed systems such as Snowflake, SingleStore 
Excellent problem solving, critical thinking with ability to evaluate and apply new technologies in a short time 
Strong written and oral communication skills 
Experience in working with global collaborators with ability to influence decision making. 
Dedicated, highly motivated with learnability skills. 
Exposure working in Data Science projects will be a plus 
 
Minimum Qualifications 
8 - 18 years of Hands on Experience in developing and building data pipelines on Cloud &amp; Hybrid infrastructure for analytical needs 
Experience working with cloud based data warehouse solutions - Snowflake, SingleStore etc., along with expertise in SQL and Advance SQL. 
Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data 
Bachelor&rsquo;s Degree or equivalent in data engineering, computer science or similar field.&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</div>

Cloud Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Have you ever ordered a product from Amazon and been amazed at how fast it gets to you? 
 
Every day Amazon engineers are relentlessly working to decrease the time between Click to Deliver for your products. The Amazon Fulfillment Technologies (AFT) team owns all of the software and infrastructure which powers Amazon's world-class fulfillment engine. Our team is building complex, massive data systems to capture data during every step in the automated pipeline and use that data to proactively predict efficiency and cost improvements to deliver the packages fast to our customers. 
 
As an Amazon.com Big Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should be skilled in the architecture of DW solutions for the Enterprise using multiple platforms (RDBMS, Columnar, Cloud). You should have experience in the design, creation, management, and business use of extremely large data-sets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all, you should be passionate about working with huge data sets and someone who loves to bring data-sets together to answer business questions and drive change. 
 
As a Big Data Engineer in this role, you will develop new data engineering patterns that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the Redshift platform as our primary processing platform to create the curated Amazon.com data model for the enterprise to leverage. You will be part of a team that builds the next generation data warehouse platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision-making at Amazon.com. 
 
About the team 
Amazon Fulfillment Technologies (AFT) powers Amazon&rsquo;s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>4+ years of SQL experience</li><li>3+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Data Engineer, AFT BI Content

Algo

<div>Position: Data Engineer (Azure Platform)

Location: Lahore, Pakistan (on-site)<div> 
Job Description 
<ul><li>Design and develop scalable data warehouse solutions to support analytics and reporting.</li><li>Build and maintain efficient Azure Data Pipelines using Azure Data Factory for ETL processes.</li><li>Develop and optimize Spark jobs using Databricks and PySpark for large-scale data transformations.</li><li>Coordinate with onsite and offshore teams to ensure seamless project execution and business continuity.</li><li>Develop and maintain dashboards and reports using BI tools such as Power BI, Tableau, MicroStrategy, or Qlik.</li><li>Manage the presentation and access layers to ensure secure and efficient data access.</li><li>Work directly with clients and stakeholders to understand requirements and deliver actionable data solutions</li></ul></div> 
Qualifications
<ul><li>BS in Computer Science or a related field with 4-5 years of experience in BI and data management projects.</li><li>Strong expertise in database and data warehouse design, support, and maintenance.</li><li>Proficiency in writing complex SQL and SparkSQL queries.</li><li>Experience in Python and its data-related frameworks.</li><li>Hands-on experience with Databricks and PySpark for data engineering tasks.</li><li>Strong proficiency in Power BI; experience with other BI tools is a plus.</li><li>Experience with Azure Data Platform (Data Factory, Azure SQL, Synapse, Data Lake) is preferred.</li><li>Ability to generate and maintain comprehensive technical documentation.</li><li>Excellent communication and interpersonal skills.</li><li>Strong analytical and problem-solving abilities.</li><li>Willingness to learn and adapt to new technologies and project requirements.</li><li>Experience in data analysis is a plus.</li><li>Ability to work independently and handle critical situations confidently.</li><li>A collaborative, team-oriented mindset.</li></ul></div>

Data Engineer (Azure Platform)

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