data warehousing engineer

S Mobile Wireless LLC

<p><b>Position &ndash; GCP Data Engineer</b></p><p><b>Location &ndash; Phoenix, AZ (Only Local - In-person Interview)</b></p><p><b>Duration &ndash; 12+ Months</b></p><p><b>Only Local to Arizona profiles will be considered. Should have 8 years of Experience.</b></p><p><b>Required Qualifications:</b></p><p>We are looking for an experienced <b>Data Engineer (Engineer II &ndash; ETL)</b> with strong expertise in <b>Big Data, Data Warehousing, and GCP</b>. The ideal candidate should have hands-on experience in data transformation, strong SQL skills, and extensive experience with PySpark.</p><p><b>Key Responsibilities:</b></p><ul><li>Develop and maintain scalable ETL pipelines on <b>GCP (LUMI platform)</b></li><li>Perform complex data transformations using <b>PySpark</b></li><li>Write optimized and high-performance <b>SQL queries</b></li><li>Work on data backfill processes and large-scale data migrations</li><li>Design and implement data models for enterprise data platforms</li><li>Ensure data quality, integrity, and governance standards</li><li>Collaborate with Data Architects and Business teams</li></ul><p><b>Required Skills:</b></p><ul><li>Strong experience in <b>Big Data &amp; Data Warehousing</b></li><li>Hands-on experience with <b>Google Cloud Platform (GCP)</b></li><li>Expertise in <b>PySpark</b></li><li>Advanced knowledge of <b>SQL</b></li><li>Experience with <b>data modeling</b></li><li>Experience with data backfill and large data processing</li><li>Strong understanding of ETL frameworks</li></ul><p>Job Type: Contract</p><p>Pay: $55,276.82 - $70,548.43 per year</p><p>Location:</p><ul><li>Phoenix, AZ (Required)</li></ul><p>Work Location: In person</p>

GCP Data Engineer

Hudson Manpower

<div><p><b>Job Description:</b><br>
We are looking for a <b>Data Engineer with 1&ndash;4 years of experience</b> who is passionate about data engineering and cloud-based data platforms. The ideal candidate will have experience working with <b>Snowflake, SQL, and data integration tools</b> to support data warehousing and analytics initiatives.</p><p><b><br>
Employment Type:</b> W2<br>
<b>Work Authorization:</b> US Citizen / Green Card / H4 EAD<br>
<b>Location:</b> Open to relocate anywhere within the United States</p><p></p><p><b>
Responsibilities:</b></p><ul><li>
Develop, build, and maintain <b>data pipelines and data solutions using Snowflake</b>.</li><li>
Write efficient <b>SQL queries</b> for data extraction, transformation, and loading (ETL/ELT).</li><li>
Work with <b>structured and semi-structured data</b> within the Snowflake environment.</li><li>
Support <b>data warehousing and data migration projects</b>.</li><li>
Collaborate with <b>data analysts, developers, and business stakeholders</b> to understand data requirements.</li><li>
Optimize <b>data performance, query efficiency, and storage usage</b> in Snowflake.</li><li>
Assist in <b>data validation, testing, and troubleshooting</b> of data pipelines.</li><li>
Work with <b>cloud platforms such as AWS, Azure, or GCP</b> (basic knowledge preferred).</li></ul><p><b><br>
Required Skills:</b></p><ul><li>
1&ndash;4 years of experience in <b>Snowflake or cloud-based data warehousing</b>.</li><li>
Strong knowledge of <b>SQL and relational databases</b>.</li><li>
Understanding of <b>ETL/ELT processes and data integration tools</b>.</li><li>
Basic knowledge of <b>Python, data pipelines, or scripting</b> is a plus.</li><li>
Familiarity with <b>cloud platforms (AWS/Azure/GCP)</b> is preferred.</li><li>
Good understanding of <b>data warehousing concepts and data modeling</b>.</li></ul><p><b><br>
Eligibility:</b></p><ul><li>
Must be able to work on <b>W2</b>.</li><li><b>
US Citizens, Green Card holders, and H4 EAD candidates only</b>.</li><li>
Must be <b>open to relocation anywhere within the United States</b>.</li></ul></div>

Data Engineer (1–4 Years Experience) GC USC

sonnen Egypt

<div>
 <strong>
  Standort
  <br/>
  <br/>
 </strong>
 Cairo, EG
 <br/>
 <br/>
 <strong>
  Stellen-ID
 </strong>
 : 5268
 <br/>
 <br/>
 Join the energy revolution with #teamsonnen!
 <br/>
 <br/>
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 <br/>
 <br/>
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 <br/>
 <br/>
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 <br/>
 <br/>
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 <br/>
 <br/>
 We are seeking for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 <br/>
 <br/>
 We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 <br/>
 <br/>
 <strong>
  What you will do to help drive the energy transition:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You develop and maintain data analysis processes with a variety of structured and unstructured data sources.
  </li>
  <li>
   You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
  </li>
  <li>
   You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
  </li>
  <li>
   You collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
  </li>
  <li>
   You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Gitlab).
  </li>
  <li>
   You stay up-to-date with emerging trends and technologies in data engineering, and assess their potential applications to our business needs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Need On That Journey
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
  </li>
  <li>
   You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
  </li>
  <li>
   You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
  </li>
  <li>
   You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
  </li>
  <li>
   You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
  </li>
  <li>
   You are fluent in English. German is a plus.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Stellensegment:
 </strong>
 Computer Science, Quality Assurance, SQL, Database, Technology
</div>


Data Engineer (m/w/d)

Galapagos Federal Systems

<div>Overview:
<div><b>
Job Summary</b></div><div>
Galapagos Federal Systems LLC is seeking a qualified Data/ETL Engineer to support a mission-critical Department of Defense (DoD) database system managed by the Defense Manpower Data Center (DMDC). The system serves as a centralized case-level database supporting DoD policy oversight and Congressional reporting, with capabilities for data entry, system interfaces, case management, and enhanced reporting.</div><div></div><div><br>
The Data/ETL Engineer will design, develop, and maintain ETL data pipelines supporting daily data exchanges between core system modules and the Enhanced Reporting Capability (ERC) platform. These processes ensure that more than 6,500 users across the DoD enterprise have access to accurate and timely data for case management, analysis, and mandated reporting.</div><div></div><div><br>
Working closely with database administrators, developers, and analysts, the engineer will support data governance, automate data quality monitoring, and assist with cloud migration initiatives. The ideal candidate will have experience with Oracle databases, SQL development, data warehousing, and modern ETL tools, with a strong focus on data integrity and DoD security compliance.</div><div></div><div><b><br>
Key Responsibilities</b></div><div></div><div><br>
The Data/ETL Engineer will:</div><ul><li>
Design, develop, and maintain ETL data pipelines supporting daily data transfers between the core application and the Enhanced Reporting Capability (ERC) module.</li><li>
Perform secure data exchanges using SFTP between internal and external interfacing systems, supporting up to 300 data exchanges annually</li><li>
Develop, maintain, and automate system interfaces and data transfer processes, including implementation of modern API-based data exchanges</li><li>
Build reusable processes to connect to multiple data sources across cloud environments and integrate them into the enterprise architecture</li><li>
Provide data management and governance services, including data ingestion, validation, storage, management, and quality assurance in accordance with Government-approved standards</li><li>
Create data flow diagrams, perform data standardization, and support enterprise data modeling activities</li><li>
Manage incoming data streams and develop mechanisms that allow users and applications to modify, access, and extract data efficiently</li><li>
Identify, analyze, and resolve data quality issues, and design and implement automated data quality monitoring and control mechanisms</li><li>
Conduct ongoing data quality analysis, documentation, and reporting to assess overall data health and integrity</li><li>
Develop and maintain data quality dashboards and reports, including system metrics and validation checks between system data and interfacing Service systems</li><li>
Automate data anomaly detection and monitoring to proactively identify inconsistencies or errors</li><li>
Support database performance optimization, data recovery, and system integrity, including configuration and maintenance of database instances</li><li>
Modify database structures to support application modernization efforts, including database migrations, conversions, and schema updates</li><li>
Manage the migration of program updates, database changes, reference data, and configuration changes across the development lifecycle</li><li>
Generate transaction analysis reports for external interfaces, including data exchange volumes, error rates, and issue tracking</li><li>
Support enhanced reporting capabilities that enable congressionally mandated reporting, trend analysis, data validation, and ad hoc reporting requests</li><li>
Develop business intelligence (BI) reports and dashboards as requested by the DHRA Data Governance Board and DMDC Data Stewardship Council</li><li>
Integrate data from additional DoD environments such as Advana and Oracle Cloud Infrastructure (OCI) to support enterprise reporting initiatives</li></ul>
Responsibilities:
<div><b>
Skills and Experience</b></div><div></div><div><br>
The Data/ETL Engineer must have:</div><ul><li>
DoW Clearance not Required. Ability to obtain and maintain a Tier 3 (T3) background investigation for Noncritical-Sensitive position; Tier 5 (T5) required for privileged access role</li><li>
Prior experience supporting DMDC or DHRA systems</li><li>
Experience with ETL development, data integration, and automated data pipeline design</li><li>
Strong proficiency with Oracle databases, SQL development, and data warehousing concepts</li><li>
Experience implementing secure data exchanges using SFTP and API-based integrations</li><li>
Knowledge of data quality management, monitoring frameworks, and data governance practices</li><li>
Experience developing BI dashboards and reports using tools such as Power BI, Tableau, Qlik, or MicroStrategy</li><li>
Familiarity with cloud environments, including AWS GovCloud, Oracle Cloud Infrastructure (OCI), or other DoD-approved cloud platforms</li><li>
Understanding of DoD Risk Management Framework (RMF) processes and data security requirements</li><li>
Experience working within Agile or Scrum development environments</li><li>
Familiarity with enterprise reporting platforms such as MicroStrategy</li></ul><div><b>
Education and Certifications</b></div><div></div><div><br>
The Data/ETL Engineer must meet the following:</div><div></div><div><br>
Required</div><ul><li>
U.S. Citizenship</li><li>
CompTIA Security+ CE (DoW 8140/8570 compliant)</li></ul><div>
Preferred</div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Engineering, Information Systems, Information Technology, or a related technical discipline</li><li>
DoW 8140 cybersecurity workforce certifications</li></ul><div></div><div><b><br>
Benefits</b></div><ul><li>
Medical, dental, vision, disability, and life insurance</li><li>
Flexible Spending Accounts</li><li>
401(k)</li><li>
PTO</li><li>
Paid Parental Leave</li><li>
Tuition reimbursement</li><li>
Paid federal holidays</li></ul><div></div><div><b><br>
Security Clearance</b></div><div></div><div><br>
Must be a U.S. Citizen. A high-level Department of Defense active security clearance is/may be required. Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to government information.</div><div></div><div><b><br>
Physical Requirements</b></div><div></div><div><br>
Work may involve sitting or standing for extended periods of time and typing and reading from a computer screen. The candidate must have enough mobility, including bending, reaching, and kneeling, to complete daily duties in a prompt and efficient manner, and that may include lifting up to thirty pounds, as necessary.</div><div></div><div><b><br>
Company Summary</b></div><div></div><div><br>
Headquartered in Hawaii, Galapagos Federal Systems, LLC, is an SBA-Certified NHO-owned 8(a) Small Business specializing in global information technology solutions. We deliver professional services in IT Design &amp; Installation, Cybersecurity Engineering &amp; Support, Application Integration &amp; Development, Software &amp; Hardware Engineering, Network &amp; Systems Management, Information Systems Security, and Business Management Services.</div><div></div><div><br>
Leveraging over 30 years of providing IT services to the federal &amp; commercial market with projects found around the world, our team has innovative expertise in the development of a wide range of technological solutions. Galapagos Federal Systems, LLC is an equal opportunity employer.</div><div></div><div><br>
Our service commitment is simple - &quot;Quality IT Solutions... On Time &amp; On Budget.&quot;</div><div></div><div><b><br>
Company Employment Statement</b></div><div></div><div><br>
Galapagos Federal Systems, LLC reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing as positions, functions, and qualifications may vary depending on business needs. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</div><div></div><div><br>
Galapagos Federal Systems, LLC is an equal opportunity employer and does not discriminate against applicants based on race, color, creed, religion, medical condition, legally protected genetic information, national origin, sex (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity and expression, age, disability, or Vietnam era, or other eligible veteran status or legally protected characteristics.</div>
Posted Salary Range: USD $118,000.00 - USD $124,000.00 /Yr.</div>

Data/ETL Engineer

Akebia Therapeutics

<div><p>At Akebia we take that number very seriously and every day we come to work, with the purpose of bettering the lives of each person impacted by kidney disease and the renal community that serves them.<br>
Our tenacious, passionate employees&rsquo; challenge the status quo and work to develop unique therapeutics that have the potential to set new standards of care for people living with kidney disease.</p>
<p>
This is life-changing work, and we are all in, are you?</p>
<p>
Job Summary:</p>
<p>
Akebia is looking for talented and motivated individual to serve as a Data Engineer. As a crucial member of the IT Team, you will work with some of the industry&rsquo;s latest technologies in support of a highly focused and entrepreneurial department furthering key business initiatives. The Data Engineer will have to have a solid background in key technologies as well as application automation, data integration, and systems implementation experience. The ideal candidate will be a highly self-motivated IT professional, inspired by technology and its use in an ever changing, fast paced environment to automate inefficient processes.</p>
<p><b>
Essential Duties &amp; Responsibilities</b></p>
<ul><li> Reports to Senior Director Information Security &amp; Data to manage multiple concurrent and potentially interconnected timelines, prioritizing deliverables, and keeping key stakeholders involved and informed of changes and consequences</li></ul>
<ul><li> Work with departmental management, IT partners, outside vendors, and internal stakeholders to plan, implement, integrate, administer, and support applications for Regulatory, Safety/Pharmacovigilance, CMC, Quality, Medical Affairs, Clinical, Commercial, and G&amp;A functions</li></ul>
<ul><li> Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems</li></ul>
<ul><li> Integrates data from different sources, including databases, data warehouses, APIs, and external systems</li></ul>
<ul><li> Lead cross-functional teams to manage master data, integration, and reporting projects</li></ul>
<ul><li> Build and lead integration platform roadmap and administer current integration tool-sets.</li></ul>
<ul><li> Document current and future data flows, data locations, integration tool configurations.</li></ul>
<ul><li> Build and manage Integration API library.</li></ul>
<ul><li> Support and Manage File Transfer Services.</li></ul>
<ul><li> Technical lead on systems projects and implementations.</li></ul>
<ul><li> Design, develop, maintain, and support data integrations and ETL processes.</li></ul>
<ul><li> Be a key member of a data warehousing project and bring technical expertise to the team both on the data integration and data reporting sides.</li></ul>
<ul><li> Continue to develop and mature subject matter expertise on enterprise data the company utilizes and bases decisions on and how it relates to other data and data sets.</li></ul>
<ul><li> Manage service providers and vendors to ensure full end-to-end support for data integrations, and processes in supported functions</li></ul>
<ul><li> Keep abreast of industry technology best practices and proactively look to disrupt inefficient systems and processes for the betterment of the company</li></ul>
<ul><li> Administer application integration platforms including Celigo</li></ul>
<ul><li> Provide user administration for NetSuite ERP system.</li></ul>
<ul><li> Administer NetSuite ERP system modules to provide needed configurations to integrate non-NetSuite systems with NetSuite through Akebia integration technology stack</li></ul>
<ul><li> Maintain and Administer ERP test environments for ERP system upgrades, application integrations, and ERP related business process changes</li></ul>
<ul><li> Support and administer data security posture management solution and help define data security categorization and classifications</li></ul>
<ul><li> Develop data governance strategies and approaches</li></ul>
<ul><li> Define AI data boundaries and integrations and develop use cases where AI can be leveraged for automation or innovation</li></ul>
<p><b>
Basic Qualifications</b></p>
<ul><li> A bachelor&rsquo;s degree in computer science, data science, software engineering, information systems, or related field or equivalent Life Sciences IT experience.</li></ul>
<ul><li> 3+ years of experience with data integration tools (Informatica Cloud, Boomi, Fivetran, dbt, Hightouch etc.)</li></ul>
<ul><li> Working knowledge or current IT Security principles and SSO infrastructure (Okta preferred)</li></ul>
<ul><li> Proven ability to work on cross functional projects and contribute significantly to achieve meaningful business goals</li></ul>
<ul><li> Hands on experience with Tier 1 ERP System operation, configuration, and support</li></ul>
<ul><li> Proven experience with Pharmaceutical Data Management - data consolidation and normalization, data investigation, data modeling, and data validation methods</li></ul>
<ul><li> Experience with data reporting and visualization tools (Oracle BI, Power BI, Tableau, etc.)</li></ul>
<ul><li> Experience with data warehousing technologies (Redshift, Snowflake, etc.)</li></ul>
<ul><li> Effectively communicate complex concepts with vendors, co-workers and management, both verbally and in writing</li></ul>
<ul><li> Must have a passion for learning about new systems and tools and keeping abreast of the latest technologies to best serve the business</li></ul>
<ul><li> Strong knowledge of G&amp;A, commercial, R&amp;D, and technical operations life sciences functional business lines/processes and the applied core technologies to enable the organization to operate efficiently</li></ul>
<ul><li> Experience effectively managing vendors to achieve business goals while maintaining project timelines and budget</li></ul>
<ul><li> Experience project managing application, integration, and reporting projects throughout the entire project lifecycle including requirements gathering and documentation, vendor selection, implementation tracking, risk/issue management, change management as well as system documentation, release, and training</li></ul>
<ul><li> Proven analytical thinking and problem-solving capability</li></ul>
<ul><li> Ability to multi-task and meet deadlines in a fast-paced, changing environment. Self- starter, hands-on attitude and out of the box thinking.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p><br>
<p></p>
<ul><li> Master&rsquo;s degree in computer science, data science, software engineering, information systems, or related field</li></ul>
<ul><li> Experience working at a life sciences company</li></ul>
<ul><li> Experience as a business analyst, including identification of non-technical business requirements, translating specifications into solution designs, ensuring quality and successful testing, financial and resource management</li></ul>
<p><b>
Compensation:</b></p>
<p>
Targeted Base: *123,279-152,286</p>
<ul><li>Base Compensation for this role will depend on a number of factors including a candidate&rsquo;s qualifications, skills, competencies, and experience, and may fall outside of the range shown. Base pay is only one component of the company&rsquo;s total rewards package, all regular employees are also eligible for the corporate bonus program or the incentive compensation program (if applicable), as well as equity. Additional benefits include health care, vision, dental, retirement, PTO, etc.</li></ul>
<p><b>
Are you an Akebian?</b></p>
<p>
An Akebian is curious, empathetic, and values making connections to people and ideas. Akebian&rsquo;s aren&rsquo;t afraid of diving in and owning a process or a problem, because we all want to deliver a great solution. Akebian&rsquo;s believe that we are better together because we are all working toward a common purpose &ndash; to better the life of each person impacted by kidney disease. Want to learn more about what it means to be an Akebian? Visit our website: www.akebia.com</p>
<p>
Akebia is an equal opportunity employer and welcomes all job applicants. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law</p></div>

Data & Integration Engineer

Forterra

<div><p><b>About Forterra</b><br>
<br>
Forterra is a leading provider of autonomous systems for ground-based movement in the working world. Amongst some of the earliest innovators in the field of driverless technology, Forterra is focused on building systems that protect front-line soldiers and enable civilian workers in our industrial base. Forterra is the go-to provider of ground autonomy solutions for the U.S. Department of Defense, which harnesses the technology for asymmetric warfare in critical conditions.</p><p><b><br>
About the role</b></p><ul><li>
The Forterra Data Team is seeking an experienced Staff Data Engineer to support the implementation and development of data pipelines, the data warehouse, and other key components of the data platform. In this role, you will be instrumental in building the data foundation that enables insights for developing a best-in-class ecosystem of autonomy products</li></ul><p><b>
What you'll do</b></p><ul><li>
Build and orchestrate pipelines for ingestion and transformation of data collected from Forterra's vehicles and internal systems.</li><li>
Design, build, and maintain our enterprise data warehouse on Snowflake, ensuring optimal performance, cost-efficiency, and scalability.</li><li>
Gather requirements from both technical and non-technical stakeholders to deliver end-to-end data products.</li><li>
Support user and role provisioning, implement RBAC policies, support audits and conduct user access reviews.</li><li>
Establish data modeling standards and data governance frameworks, creating dimension and fact tables that serve analytics, machine learning, and reporting use cases.</li><li>
Implement data quality monitoring, anomaly detection, tests, and alerting. - Document definitions, metrics, and KPIs and assist in the development of a data dictionary.</li></ul><p><b>
Qualifications</b></p><ul><li>
6+ years of hands-on experience in data engineering, data warehousing, or analytics engineering roles.</li><li>
Expert SQL knowledge and Python proficiency.</li><li>
Experience with the modern data warehouses (Snowflake, Redshift, BigQuery, etc), data transformation, and orchestration tools (dbt, Airflow, Dagster, Prefect).</li><li>
Experience with cloud infrastructure.</li><li>
Understanding of software engineering best practices including version control, CI/CD pipelines, code review processes, and infrastructure-as-code.</li><li>
Understanding of MLOps and experience with implementation of AI/ML technologies.</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Big Data/IoT Data experience.</li><li>
Experience working with unstructured data.</li><li>
Experience working with GovCloud and FedRamp</li></ul><p><b>
Education &amp; Experience</b></p><ul><li>
Bachelor's Degree STEM field or Related degree.</li></ul><p></p><p><br>
US Salary Range<br>
$145,000.00&mdash;$175,000.00</p><p><br>
The salary range for this role is an estimate and is based on a wide variety of compensation factors. The salary offered to candidates will vary based on a variety of factors including (but not limited to) relevant work experience, education, specialized training, critical expertise, training, and more. Equity in Forterra is included in most of our full-time, high-demand roles and is therefore considered part of Forterra&rsquo;s overall compensation package. In addition to base salary and equity, Forterra offers competitive benefits for full-time employees including:</p><ul><li>
Premium Healthcare Benefits: Three plan options, including an HSA-eligible plan, with Forterra covering 80% of the plan premium for you and your dependents.</li><li>
Basic Life/AD&amp;D, short and long-term disability insurance plans 100% covered by Forterra, plus the option to purchase additional life insurance for you and your dependents.</li><li>
Extremely generous company holiday calendar including a winter break in December.</li><li>
Competitive paid time off (PTO) offering 20 days accrued per year.</li><li>
A minimum of 7 weeks fully paid parental leave for birth/adoption.</li><li>
A $9k annual tuition reimbursement or professional development stipend.</li><li>
Fully stocked beverage refrigerators with all the Celsius your little heart desires.</li><li>
401(k) retirement savings plan, including traditional, Roth 401(k), and after-tax deferral with company match up to 4%.</li></ul><p>
Your recruiter will be able to share more information about our salary and benefits offering during the hiring process.</p><p></p><p><br>
Forterra is an equal-opportunity employer, providing and promoting equal employment opportunity in accordance with local, state, and federal laws. Forterrans are unique, talented individuals who are united through a shared passion to deliver autonomous systems that enable national resilience and a robust supply chain. All qualified applications will receive equal consideration for employment.</p><b><br>
The pay range for this role is:</b><br>
145,000 - 175,000 USD per year(Remote)</div>

Staff Data Engineer

First Abu Dhabi Bank (FAB)

<div>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, implement, and maintain robust ETL/ELT processes to ingest, clean, and transform data from multiple sources
  </li>
  <li>
   Process and manage complex datasets to support business and analytical needs
  </li>
  <li>
   Conduct regular testing and enhancement of data pipelines to improve efficiency
  </li>
  <li>
   Implement best practices for data validation, testing, and monitoring, proactively identifying and resolving issues to maintain data integrity
  </li>
  <li>
   Collaborate with software engineers and AI/ ML engineers to ensure seamless data accessibility
  </li>
  <li>
   Implement best practices for data governance, security, and quality assurance
  </li>
  <li>
   Document data architectures, lineage, and metadata to ensure transparency and reproducibility
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in data engineering, ETL development, or data warehousing
  </li>
  <li>
   Demonstrated ability to design and manage ETL/ELT processes using tools like Airflow, Luigi, or dbt to automate data workflows and transformations
  </li>
  <li>
   Experience with big data architectures and optimizing data pipelines
  </li>
  <li>
   Deep familiarity with SQL for data manipulation and querying
  </li>
  <li>
   Strong coding skills in Python, and at least one other language (Scala/Java)
  </li>
  <li>
   Hands-on experience with cloud-based data platforms (Azure/AWS/GCP)
  </li>
  <li>
   Strong analytical skills for working with large-scale unstructured datasets
  </li>
  <li>
   Ability to diagnose data issues, optimize performance, and communicate technical solutions effectively to both technical and non-technical stakeholders
  </li>
  <li>
   Educational qualifications: Bachelor&rsquo;s degree in Computer Science, Engineering, or related field required
  </li>
 </ul>
</div>


Data Architect

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