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
SQL Server
T-SQL
Power BI
Azure Data Services
Databricks
ETL
ELT
Data Warehousing
Data Modeling
Lakehouse
SQL Performance Tuning
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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