Data Engineer / Senior Data Engineer
ArcadiaSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Consulting, TechnologyIndustries
Requirements
- Bachelor’s degree in computer science, Computer Engineering, MIS, or related field
- 5+ years of experience with Microsoft SQL Server and strong proficiency in T-SQL, SQL performance tuning (Indexing, Structure, Query Optimization)
- 5+ years of experience in Microsoft data platform development and implementation
- 5+ years of experience with PowerBI or other competitive technologies
- 3+ years of experience in consulting, with a focus on analytics and data solutions
- 2+ years of experience with Databricks, including Unity Catalog, Databricks SQL, Workflows, and Delta Sharing
- Proficiency in Python and Apache Spark
- Expertise in Microsoft Azure services, including Azure SQL, Azure Data Factory (ADF), Azure Data Warehouse (Synapse Analytics), Azure Data Lake, and Stream Analytics
- Experience with Microsoft Fabric
- Familiarity with CI/CD pipelines and infrastructure-as-code tools like Terraform or Azure Resource Manager (ARM)
- Knowledge of taxonomies, metadata management, and master data management
- Familiarity with data stewardship, ownership, and data quality management
- Expertise in Big Data technologies and tools: Big Data Platforms (HDFS, MapReduce, Pig, Hive); General DBMS experience (Oracle, DB2, MySQL, etc.); NoSQL databases (HBase, Cassandra, DataStax, MongoDB, CouchDB, etc.); Experience with non-Microsoft reporting and BI tools (Qlik, Cognos, MicroStrategy, Tableau, etc.)
Responsibilities
- Design and implement general architecture for complex data systems
- Translate business requirements into functional and technical specifications
- Design and implement lakehouse architecture
- Develop and manage cloud-based data architecture and reporting solutions
- Apply data modelling principles for relational and dimensional data structures
- Design Data Warehouses following established principles (e.g., Kimball, Inmon)
- Create and manage source-to-target mappings for ETL/ELT processes
- Mentor junior engineers and contribute to architectural decisions and code reviews
- Develop and manage Databricks notebooks for data transformation, exploration, and model deployment
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary for the Data Engineer II position?
This information is not specified in the job description.
Is this a remote position or what is the location requirement?
This information is not specified in the job description.
What are the key skills required for this Data Engineer role?
Required skills include 5+ years with Microsoft SQL Server and T-SQL, 5+ years in Microsoft data platform development, 5+ years with PowerBI, 2+ years with Databricks, proficiency in Python and Apache Spark, and expertise in Azure services like Azure Data Factory and Synapse Analytics.
What does the team structure or work environment look like at Valorem Reply?
This information is not specified in the job description.
What qualifications make a strong candidate for this position?
Strong candidates will have a Bachelor’s degree in computer science or related field, 5+ years experience with SQL Server, Microsoft data platforms, and PowerBI, 3+ years in consulting focused on analytics, plus experience with Databricks, Azure services, Python, Spark, and mentoring junior engineers.
Replo
Platform for customizable e-commerce landing pages
About Replo
Replo offers a platform for creating customizable landing pages specifically for e-commerce teams, allowing users to build pages quickly using templates or from scratch without coding. The platform is designed for speed, ensuring fast-loading pages that enhance user engagement and conversion rates. Replo operates on a subscription model and provides expert support services, helping clients with their projects and fostering long-term relationships. Additionally, it integrates with analytics tools to enable marketing teams to launch campaigns efficiently while maintaining brand consistency.
San Francisco, CaliforniaHeadquarters
2021Year Founded
$4.1MTotal Funding
SEEDCompany Stage
Data & Analytics, Consumer Software, Consumer GoodsIndustries
51-200Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
401(k) Retirement Plan
Performance Bonus
Risks
Increased competition from platforms like Webflow and Wix.
Over-reliance on Shopify could pose risks if policies change.
Scaling customer support may challenge Replo as its user base grows.
Differentiation
Replo offers a low-code platform tailored for Shopify users, unlike competitors.
The platform provides ultra-small bundle sizes for fast-loading landing pages.
Replo integrates analytics for data-driven decisions, enhancing marketing effectiveness.
Upsides
Growing demand for low-code solutions boosts Replo's market potential.
Shopify's ecosystem expansion offers Replo more integration opportunities.
Mobile-first design trend aligns with Replo's fast-loading page capabilities.
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