data warehouse engineer

Mohegan Sun

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Position Summary:<div>
The Data Warehouse Engineer is responsible for designing, developing, and maintaining enterprise data warehouse infrastructure and ETL (Extract Transform Load) solutions that support strategic decision-making and operational efficiency. This role requires expertise in data integration, database management, and modern data engineering. The position will work closely with business stakeholders and cross-functional teams to understand requirements, implement scalable data solutions, and ensure the availability of high-quality data assets for business intelligence and analytics initiatives.</div>
Primary Duties and Responsibilities:<div><ul><li>
ETL Development and Data Integration: The Data Warehouse Engineer will be responsible for designing, developing, and maintaining complex ETL workflows using enterprise-class tools such as Informatica. This includes extracting data from multiple source systems, applying business transformation logic, and loading data into target data warehouse environments. The role requires implementing automated validation procedures to ensure data accuracy and integrity across all warehouse feeds, as well as developing Python scripts and APIs for data integration, automation, and custom data processing tasks.</li><li>
Data Warehouse Design and Optimization: A core responsibility of this role is to design and maintain efficient data warehouse structures, schemas, tables, views, and materialized views that support business intelligence requirements. The Data Warehouse Engineer will be responsible for performance planning, tuning, and optimization including warehouse sizing, query optimization, clustering keys, and data partitioning strategies. This includes implementing best practices for data modeling, leveraging features such as time travel, zero-copy cloning, and data sharing capabilities to ensure query efficiency and system scalability.</li><li>
Technical Documentation and Data Governance: The Data Warehouse Engineer will create and maintain comprehensive technical documentation including data catalogs, structural diagrams, ETL process flows, and data lineage documentation. This includes documenting data definitions, business rules, transformation logic, and end-user warehouse assets to ensure transparency and support data governance initiatives across the organization.</li><li>
Business Intelligence Support and Collaboration: Provide Level III technical support for business intelligence and decision support tools, working directly with business users to troubleshoot complex data issues. Collaborate with business stakeholders and management to understand analytical requirements and translate them into technical specifications. Develop reports and data visualizations using enterprise reporting tools, ensuring that data assets are meaningful, efficient, and accurate for end-user consumption.</li><li>
Data Pipeline Development and API Integration: Design and implement modern data pipelines that integrate with various systems through APIs and web services. Develop Python-based solutions for data extraction, transformation, and automation tasks. Leverage data warehouse&rsquo;s native capabilities for continuous data ingestion, streams and tasks for data pipeline orchestration, and external functions for API integration. Work with other teams to ensure seamless integration of new data sources and maintain the reliability of existing data flows in a 7x24x365 enterprise environment.</li><li>
Project Execution and Continuous Improvement: Execute approved work requests based on business priorities, working on project teams to create or modify existing data reports and warehouse assets. Stay current with emerging technologies, tools, and methodologies in data warehousing and data engineering, particularly Snowflake and Informatica platform enhancements and best practices. Evaluate and recommend new approaches for improving data infrastructure, ETL processes, and overall data warehouse capabilities.</li><li>
Perform additional duties and responsibilities as assigned</li><li>
Promote and uphold Mohegan&rsquo;s core values and purpose through daily actions and decision‑making</li><li>
Deliver and support a high standard of customer service</li><li>
Provide support for applications operating in a 24/7/365 enterprise environment</li><li>
Maintain accurate reporting in accordance with Mohegan Information Systems policies</li></ul></div>
Minimum Education and Qualifications:<div><ul><li>
Bachelor&rsquo;s degree in computer science, Computer Applications, Engineering, Business, or a related field</li><li>
Five years of proven experience in data warehousing, ETL development, and database management for a large organization</li><li>
Demonstrated expertise with ETL tools (e.g., Informatica) and business intelligence platforms such as Snowflake, Power BI, and Cognos</li><li>
Proficiency in SQL and cloud‑based data warehouse technologies</li><li>
Hands‑on experience with the Snowflake data platform, including architecture design, administration, and performance optimization</li><li>
Experience using Python for data integration, automation, or related data engineering tasks</li><li>
Knowledge of API development and system integration</li><li>
Strong written and verbal communication skills</li><li>
Demonstrated analytical and critical thinking abilities</li><li>
Proven ability to work collaboratively, with strong self‑awareness and interpersonal skills</li><li>
Obtains and maintains at least one or more applicable gaming licenses in multiple jurisdictions</li></ul></div>
Competencies: Incumbent will master the following competencies while in this position:<div><ul><li>
Advanced proficiency in SQL and relational database management systems</li><li>
Advanced expertise in Snowflake data platforms, including SnowSQL, Snowpipe, Streams, Tasks, and data sharing</li><li>
Strong competency in API development, system integration, and web services</li><li>
Working knowledge of governance and service management frameworks, including COBIT and ITIL</li><li>
Strong understanding of the software development lifecycle (SDLC) and data engineering best practices</li><li>
Proficiency in data modeling concepts and data architecture methodologies</li></ul></div>
Training Requirements:<div><ul><li>
Mohegan corporate and department policies and procedures</li><li>
Appropriate regulations that pertain to Mohegan information systems</li><li>
Purchase request review and approval with enterprise supply-chain management application</li><li>
Review and analysis of department timesheet information</li><li>
Mohegan budget planning and analysis process and procedures</li></ul></div>
Physical Demands and Work Environment:<div><ul><li>
Office work environment / 3 days in office</li><li>
Must be able to sit in front of a computer screen for extended periods of time</li><li>
Ability to work a flexible schedule, including occasional evenings and weekends</li><li>
On‑call availability with a company‑issued cell phone</li><li>
Willingness to travel occasionally (up to 10%)</li></ul></div>
This is not necessarily an exhaustive list of all responsibilities, requirements or working conditions associated with the job. Mohegan reserves the right to make changes in the above job description whenever necessary.
Work Shift:
Regular
Knock, knock. Hear that sound? That's opportunity!
.
Mohegan Sun practices Native American Preference in hiring. &quot;Native American&quot; means an individual who is a duly enrolled member of the Mohegan Tribe or any group of Native Americans recognized by the Mohegan Tribe, The United States of America, or the State of Connecticut.</div>

Data Warehouse Engineer

Mount Sinai Health System

<div>Description
The Scientific Computing and Data team at the Icahn School of Medicine at Mount Sinai partners with scientists and clinicians to accelerate scientific discovery. The AI-Ready.Mount Sinai (AIR.MS) platform contains patient data generated from the clinical care processes at the Mount Sinai Health System. AIR&middot;MS is a cloud-based, high-performance SAP HANA data platform with electronic health record (EHR) data in an OMOP data format. It also contains metadata from and links to raw data sets in other modalities, such as radiology, genomics and pathology. Researchers can access the AIR.MS data through direct database access, AI agents, cohort query tools and the Minerva high-performance computer. AIR.MS ingests OHDSI&rsquo;s Observational Medical Outcomes Partnership (OMOP)-formatted EHR data from the Mount Sinai Data Warehouse. AIR.MS is integrated with Minerva, a high-performance computer with &gt;21 petaflops of raw computational power and the raw radiology, genomics and pathology data sets. An expert team of 20+ PhD/MD computational scientists, biomedical informaticists and computer scientists partner with researchers and clinicians to effectively and efficiently utilize these resources for translational science.
The Lead Data Warehouse Engineer is a senior technical specialist responsible for leading the ongoing integration of multi-modal clinical data into the AIR.MS data warehouse. The Lead Data Warehouse Engineer will assess the state of data integration, identify opportunities for data integration based on researcher&rsquo;s priorities, develop a plan to integrate metadata and data, and execute on the data integration. The incumbent will work collaboratively with other members of the AIR.MS data platform and Mount Sinai Data Warehouse teams to lead technical efforts for the integration of multi-modal data sets resulting in expanded AIR.MS functionality. The AIR.MS data warehouse is built on the SAP HANA technology stack and MSDW is built on MySQL.
Responsibilities<ul><li>
Design databases and pipelines that balance functionality, performance, cost, and development time; evaluate technical options with the product manager.</li><li>
Design, build, test, and maintain data pipelines that extract/capture data from source systems, transform and augment those data, and integrate it into a multi-modal data repository.</li><li>
Serve as a team leader; contribute to project planning, work breakdown, dependency sequencing, and release management.</li><li>
Develop and promote standards, conventions, design patterns, DevOps/SDLC best practices, and operational procedures for pipelines and warehouse maintenance.</li><li>
Mentor junior engineers in data warehousing, data engineering skills, and operational support.</li><li>
Design, build, and maintain data management processes, including loading flat files (csv, tsv, pipe-delimited, JSON).</li><li>
Lead design sessions, code walkthroughs, peer reviews, and produce technical documentation.</li><li>
Tune database objects, stored procedures, and pipelines to optimize performance and minimize compute and storage costs.</li><li>
Monitor database and pipeline operations; lead troubleshooting and remediation of failures; provide occasional after-hours on-call support.</li><li>
Collaborate with DBAs and system administrators on backups, performance tuning, statistics/index maintenance, and patching.</li><li>
Provide high-quality customer service to researchers, clinicians, and internal partners; maintain a science‑driven, customer-focused approach.</li><li>
Ensure patient privacy and data security in compliance with IRB &amp; cybersecurity policies, HIPAA, 42 CFR Part 2, NYS Article 27-F, and other regulations.</li><li>
Stay current with emerging technologies to improve capabilities, efficiency, quality, or cost.</li><li>
Identify improvements in procedures, technology, compliance, and data privacy/security.</li><li>
Periodically assist DBAs with user provisioning, backups, restorations, capacity planning, and performance monitoring.</li><li>
Perform related duties as assigned.</li></ul>
Qualifications<ul><li>
Bachelors degree in a technical discipline; Masters degree preferred</li><li>
12-15 years preferred of related experience, including 8 years of experience designing, developing, and maintaining relational databases, data pipelines, and dimensional/OLAP warehouses.</li></ul>
Preferred:<ul><li>
Expert knowledge of data warehousing: 3NF &amp; dimensional modeling (fact table types, SCDs), change data capture, incremental loads, data lineage, source-to-target mappings, pattern-based &amp; parameter-driven development.</li><li>
Expert-level experience with data engineering technologies: SQL, indexing, stored procedures, UDFs, sequences, dynamic SQL, data transformation tools, job orchestration tools for data processing.</li><li>
Experience with DevOps/SDLC best practices; Agile (Scrum, Kanban) with JIRA and Confluence; version control with git.</li><li>
Strong communication and customer service skills for working with researchers, clinicians, administrators, and IT staff.</li><li>
Excellent critical thinking, problem-solving, multitasking, and collaboration skills; ability to work independently in a fast-paced environment.</li><li>
Preferred experience with healthcare data (EHR, billing/claims, cost accounting), Epic Clarity/Caboodle, data models (OMOP, i2b2, PCORnet).</li><li>
Experience with database administration: configuration, performance tuning, partitioning, materialized views, permissions, backups &amp; restorations.</li></ul> 
Employer Description
Strength through Unity and Inclusion 

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai&rsquo;s unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual. 

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history. 

About the Mount Sinai Health System: 

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time &mdash; discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients&rsquo; medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News &amp; World Report's Best Hospitals, receiving high &quot;Honor Roll&quot; status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News &amp; World Report&rsquo;s &ldquo;Best Children&rsquo;s Hospitals&rdquo; ranks Mount Sinai Kravis Children's Hospital among the country&rsquo;s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek&rsquo;s &ldquo;The World&rsquo;s Best Smart Hospitals&rdquo; ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally. 

Equal Opportunity Employer 

The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization. 

Compensation
The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $145200 - $217875 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</div>

Lead Data Warehouse Engineer - Artificial Intelligence-Ready Mount Sinai (AIR.MS)

BAE Systems USA

<div>Job Description
 
We are seeking an experienced Cloud Data Warehouse and AI/ML Engineer to design, build, and maintain large-scale data warehouses, ETL pipelines, and AI/ML models that drive data-driven decision-making. The successful candidate will have a strong background in data warehousing, ETL, and AI/ML, with experience in working with various tools. 
Key Responsibilities:<ul><li>
Design and implement data pipelines to ingest, extract, transform, load (ETL) data and store large data sets from various sources</li><li>
Build and maintain data warehouses, including data modeling, data governance, and data quality</li><li>
Ensure data quality, integrity, and security by implementing data validation, data cleansing, and data governance policies</li><li>
Optimize data systems for performance, scalability, and reliability</li><li>
Collaborate with customers to understand their technical requirements and provide guidance on best practices for using Amazon Redshift</li><li>
Work with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver data solutions</li><li>
Provide technical support for Amazon Redshift, including troubleshooting, performance optimization, and data modeling</li><li>
Integrate AI/ML models with ETL pipelines and data warehouses to enable predictive analytics and machine learning</li><li>
Develop and deploy AI/ML models using popular frameworks such as TensorFlow, PyTorch, or Scikit-learn</li><li>
Work with data scientists to develop and deploy data-driven products and features</li><li>
Identify and resolve data-related issues, including data pipeline failures, data quality issues, and performance bottlenecks</li><li>
Develop technical documentation and knowledge base articles to help customers and AWS engineers troubleshoot common issues</li></ul> 

Required Education, Experience, &amp; Skills
 
<ul><li>Bachelor's or Master's degree in Computer Science or a related field, with at least 6 years of experience in Information Technology</li><li>
Proficiency in one or more programming languages (e.g., Python, Java, Scala)</li><li>
6+ years of experience in data engineering, with a focus on designing and implementing large-scale data systems</li><li>
5 + years of hands-on experience in writing complex, highly optimized queries across large data sets using AWS Redshift, Oracle and SQL Server.</li><li>
5 + years of hands-on experience using AWS Glue, python/spark to build ETL pipelines in a production setting, including writing test cases</li><li>
Strong understanding of database design principles, data modeling, and data governance</li><li>
Proficiency in SQL, including query optimization, indexing, and performance tuning</li><li>
Experience with data warehousing concepts, including star and snowflake schemas</li><li>
Strong analytical and problem-solving skills, with the ability to break down complex problems into manageable components</li><li>
Experience with data storage solutions such as relational databases (Oracle, SQL Server), NoSQL databases and cloud-based data warehouses (Redshift)</li><li>
Experience with data processing frameworks such as Apache Kafka, Fivetran</li><li>
Experience in building ETL pipelines using AWS Glue, Apache Airflow, and programming languages including Python and PySpark</li><li>
Understanding of data quality and governance principles and best practices</li><li>
Experience with AWS services and best practices</li></ul>
Soft Skills:<ul><li>
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams</li><li>
Strong problem-solving and analytical skills, with the ability to break down complex problems into manageable components</li><li>
Ability to work in a fast-paced environment and adapt to changing priorities</li><li>
Strong attention to detail and ability to maintain high-quality documentation</li><li>
Commitment to continuous learning and professional development</li></ul> 

Preferred Education, Experience, &amp; Skills
 
<ul><li>Experience with Dataiku</li><li>
Experience with building reports using PowerBI and Tableau</li><li>
Familiarity with agile development methodologies and version control systems such as Git</li><li>
Certification in data warehousing, ETL, or AI/ML (e.g., Certified Data Warehouse Architect, Certified ETL Developer)</li><li>
Experience with agile development methodologies such as Scrum or Kanban</li></ul> 

Pay Information 
Full-Time Salary Range: $79370 - $134929 
 
Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
 
 
Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. 
 
About BAE Systems, Inc. 
BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it&rsquo;s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts &ndash; defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team&mdash;making a big impact on a global scale. At BAE Systems, you&rsquo;ll find a rewarding career that truly makes a difference. 
 
This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.</div>

Data Engineer

TriCom Technical Services

<div>
 
 Summary
 
 
 
 Our client is seeking a Data Engineer to implement data products with a focus on collecting, parsing, managing, and analyzing large sets of data to turn information into insights using multiple platforms while ensuring that data pipelines are scalable, repeatable, and secure
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, cleanse, analyze, and validate data before storing it in application databases for final use by the organization and/or its clients.
 </li>
 <li>
 Construct and apply standard statistical analysis and/or models to verify data acceptability/accuracy.
 </li>
 <li>
 Configure, operate, and develop manual and/or automated methods, processes, and procedures to test input and output based on data compliance and quality.
 </li>
 <li>
 Plan, design, develop, and perform quality assessments on data elements and structures to document and evaluate the integrity, completeness, quality, and appropriateness of format, records, and structures.
 </li>
 <li>
 Gather and enter missing data and resolve any anomalies.
 </li>
 <li>
 Work on Extract, Load, and Transform (ELT) processes/projects, individually, as part of, or in conjunction with a database/data warehouse team.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 4+ years of experience collecting, parsing, managing, and analyzing large sets of data.
 </li>
 <li>
 Experience developing and analyzing complex SQL statements on a variety of relational databases (PostgreSQL, MySQL) for data querying and manipulation.
 </li>
 <li>
 ETL/ELT experience.
 </li>
 <li>
 Proven ability to use GitLab for creating a project, cloning a repository, creating a branch, staging, and committing and pushing changes.
 </li>
 <li>
 Linux BASH scripting experience.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience using core AWS services to build and support data warehouse solutions leveraging AWS architecture best practices.
 </li>
 <li>
 Experience with Databricks.
 </li>
 <li>
 Experience with Python.
 
 
 </li>
 </ul>
 This is a 12-month Contract opportunity. US Citizenship is required for this role. 100% Paid employee Medical/Dental Benefits, Paid time off, Paid Holidays, and 401(k) (with immediately-vested company match) available with TriCom during the contract period. H1-B Visa sponsorship is not available for this position. No third-parties, please.
 
 
</div>

Data Engineer/Data Loader

Heartland Food Products Group

<div>
 
 The Data Engineer is responsible for designing, building, and maintaining scalable, reliable data ingestion and delivery systems that support analytics, reporting, and business decision-making across Heartland. This role plays a key part in the evolution and operation of the BI and enterprise data warehouse (EDW) environment, ensuring data is accessible, trusted, and available in formats that meet business needs.
 
 
 
 
 
 The Data Engineer partners closely with data owners, business leaders, application teams, and analytics stakeholders to define data standards, optimize data architecture, and continuously improve data platform performance, reliability, and usability.
 
 
 
 
 
 
 KEY RESPONSIBILITIES
 
 
 
 
 
 
 
 Strategy &amp; Planning
 
 
 <ul>
 <li>
 Design, develop, and deploy data ingestion and egress solutions to meet evolving business and analytics requirements.
 </li>
 <li>
 Participate in defining data standards, governance practices, and warehouse architecture models.
 </li>
 <li>
 Partner with data owners and department leaders to design data models and establish protocols for accessing and analyzing production data.
 </li>
 <li>
 Contribute to the development and refinement of data management policies, procedures, and best practices.
 </li>
 <li>
 Identify gaps and improvement opportunities within data engineering processes and platforms, and communicate recommendations to stakeholders.
 </li>
 <li>
 Analyze existing BI and EDW architecture and recommend enhancements to support scalability, performance, and growth.
 </li>
 <li>
 Establish and support best practices for operating in a high-availability, 24/7, global data environment.
 </li>
 </ul>
 
 
 
 
 
 Data Engineering &amp; Platform Operations
 
 
 <ul>
 <li>
 Build, maintain, and optimize data pipelines, transformations, and data models.
 </li>
 <li>
 Collaborate with application development teams to design and manage data queries, procedures, and integrations.
 </li>
 <li>
 Monitor data warehouse performance, including stored procedures and query execution, and implement efficiency improvements.
 </li>
 <li>
 Diagnose and resolve data access, quality, and performance issues across the data platform.
 </li>
 <li>
 Develop and maintain change control, testing, and deployment processes for data model and pipeline changes.
 </li>
 </ul>
 
 
 
 
 
 Data Quality, Enablement &amp; Collaboration
 
 
 <ul>
 <li>
 Implement and promote data quality, validation, and monitoring practices.
 </li>
 <li>
 Define and maintain data definitions and metadata for new and existing database objects.
 </li>
 <li>
 Collaborate with business users, analytics teams, and IT partners to ensure data solutions align with business needs.
 </li>
 <li>
 Create documentation, standards, and reusable routines to enable best-practice use of data tools.
 </li>
 <li>
 Provide guidance and support to data consumers to improve data literacy and effective data usage.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS
 
 
 
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Information Technology, Computer Science, or a related field
 </li>
 <li>
 Proven experience delivering data engineering, data warehousing, or business intelligence solutions
 </li>
 <li>
 Experience integrating data across multiple systems and platforms with a focus on reuse and scalability
 </li>
 <li>
 Ability to manage multiple priorities and work independently as well as collaboratively in a team environment
 </li>
 </ul>
 
 
 
 
 
 Knowledge &amp; Technical Skills
 
 
 <ul>
 <li>
 Strong knowledge of data warehousing methodologies, data modeling, data quality, and data governance
 </li>
 <li>
 Advanced SQL skills and experience with data manipulation and transformation
 </li>
 <li>
 Experience with Microsoft BI and data technologies
 </li>
 <li>
 Strong understanding of relational database concepts, structures, and best practices
 </li>
 <li>
 Hands-on experience with large-scale data modeling, data mining, and business requirements analysis
 </li>
 <li>
 Experience working in a DevOps or agile environment, including version control (e.g., Git), code reviews, and CI/CD practices
 </li>
 <li>
 Familiarity with data processing flowcharting and documentation techniques
 </li>
 </ul>
 
 
 
 
 
 PERSONAL ATTRIBUTES
 
 
 <ul>
 <li>
 Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences
 </li>
 <li>
 Strong collaboration skills and a customer-oriented mindset when working with business users
 </li>
 <li>
 Analytical, detail-oriented problem solver with strong critical-thinking skills
 </li>
 <li>
 Self-motivated, accountable, and able to operate with integrity in a fast-paced environment
 </li>
 <li>
 Proven ability to prioritize and deliver results under pressure
 </li>
 </ul>
 
 
 
 
 
 PHYSICAL DEMANDS
 
 
 <ul>
 <li>
 Ability to sit or stand for extended periods while working with computers and other electronic media
 </li>
 <li>
 Occasional overtime may be required to meet project deadlines
 </li>
 </ul>
 
 
</div>

Compunnel Inc.

<div>
 
 
 Role - Data Engineer -- SHADC5784192
 
 
 
 
 Location - Durham North Carolina
 
 
 
 
 Hybrid - 2 weeks onsite a month
 
 
 
 
 Must Have - Python, SQL, AWS, Data Warehouse, Snowflake and Oracle
 
 
 
 
 
 
 
 What are the top three MUST have soft skills and technical skills (experience candidates must have coming in the door)?
 
 
 
 
 
 
 
 1.) Python (need to know Python language to extract critical elements and re-build in new ecosystem)
 
 
 
 
 2.) SQL
 
 
 
 
 3.) AWS (brand new solutions built on AWS, breaking down on-prem databases/pipelines into the AWS ecosystem)
 
 
 
 
 4.) Data Warehouse experience
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain data pipelines and ETL workflows
 </li>
 <li>
 Perform data analysis, data modeling, and creation of data marts
 </li>
 <li>
 Build and support enterprise Data Lake solutions using Snowflake on AWS
 </li>
 <li>
 Work with relational databases such as Oracle and Snowflake
 </li>
 <li>
 Develop data applications using Python
 </li>
 <li>
 Collaborate with cross-functional teams in an Agile environment
 </li>
 <li>
 Support cloud-based data solutions and migration from on-prem systems
 </li>
 <li>
 Contribute to CI/CD and DevOps processes where applicable
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Strong proficiency in Python for data processing and transformation
 </li>
 <li>
 Strong SQL skills for data querying and manipulation
 </li>
 <li>
 Hands-on experience with AWS cloud platform
 </li>
 <li>
 Experience in Data Warehousing and data modeling
 </li>
 <li>
 Experience with relational databases such as Oracle or Snowflake
 </li>
 <li>
 Experience with ETL tools like Informatica or SnapLogic
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with Business Intelligence and dashboarding tools
 </li>
 <li>
 Knowledge of DevOps tools such as Maven, Jenkins, Ansible, Docker
 </li>
 <li>
 Familiarity with Agile methodologies (Scrum, Kanban)
 </li>
 <li>
 Experience with other cloud platforms (Azure or Google Cloud)
 </li>
 </ul>
 
 
</div>

Data Engineer -- SHADC5784192

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 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.
 
 
 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.
 
 
 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.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. 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.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration 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 define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as 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.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Quality Assurance, Computer Science, Data Warehouse, Business Intelligence, Database, Technology
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