Senior Backend Engineer, Data Product
TRM LabsSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AIIndustries
Requirements
- B.E/B.Tech/M.E/M.Tech/PhD from tier 1 Engineering institutes with relevant work experience with a top technology company
- 3+ years of Backend and Infrastructure Experience with a strong track record in development, architecture and design
- Hands-on experience with large-scale databases, high-scale messaging systems and real-time Job Queues
- Experience navigating and understanding large scale systems and complex code-bases, and architectural patterns
- Proven experience in building high-scale data platforms
- Strong expertise in data warehouse schema design (star schema, fact tables, dimensions)
- Experience with data movement, transformation, and integration tools for data propagation across systems
- Ability to evaluate and implement best practices in data architecture for scalable solutions
- Data Modelling: Skilled in designing data warehouse schemas (e.g., star and snowflake schemas), with experience in fact and dimension tables, as well as normalization and denormalization techniques
- Data Warehousing & Storage Solutions: Proficient with platforms such as Snowflake, Amazon Redshift, Google BigQuery, and Azure Synapse Analytics
- ETL/ELT Processes: Expertise in ETL/ELT tools (e.g., Apache NiFi, Apache Airflow, Informatica, Talend, dbt) to facilitate data movement from source systems to the data warehouse
- SQL Proficiency: Advanced SQL skills for complex queries, indexing, and performance tuning
- Programming Skills: Strong in Python or Java for building custom data pipelines and handling advanced data transformations
- Data Integration: Experience with real-time data integration tools like Apache Kafka, Apache Spark, AWS Glue, Fivetran, and Stitch
- Data Pipeline Management: Familiar with workflow automation tools (e.g., Apache Airflow, Luigi) to orchestrate and monitor data pipelines
- APIs and Data Feeds: Knowledgeable in API-based integrations, especially for aggregating data from distributed sources
- Nice to have: Experience with Google Cloud, Django, Postgres, Celery, Redis
- Nice to have: Some experience with AI Infrastructure and Operations
Responsibilities
- Design and implement analytical platforms that provide insightful dashboards to customers
- Develop and maintain data warehouse schemas, such as star schemas, fact tables, and dimensions, to support efficient querying and data access
- Oversee data propagation processes from source databases to warehouse-specific databases/tools, ensuring data accuracy, reliability, and timeliness
- Ensure the architectural design is extensible and scalable to adapt to future needs
Skills
Python
Java
SQL
Snowflake
Amazon Redshift
Google BigQuery
Azure Synapse Analytics
Apache Airflow
Apache NiFi
Informatica
Talend
dbt
Apache Kafka
Apache Spark
AWS Glue
Fivetran
Stitch
Luigi
Level AI
Enhances customer experience through intelligent automation
About Level AI
Level AI enhances customer experience by integrating human and machine intelligence, primarily serving the Business Process Outsourcing (BPO) industry, including call centers and customer service departments. The company provides software solutions that analyze and optimize call center data, breaking down data silos to ensure all relevant information is accessible for better decision-making and improved customer interactions. Level AI operates on a subscription model, charging clients for access to its platform and tools. Its technology boosts sales team conversion rates and increases the productivity of Quality Assurance (QA) teams, leading to reduced QA costs. By focusing on intelligent automation and data integration, Level AI helps clients achieve significant performance improvements and cost savings, setting it apart from competitors in the BPO sector.
Mountain View, CaliforniaHeadquarters
2018Year Founded
$72.4MTotal Funding
SERIES_CCompany Stage
Enterprise Software, AI & Machine LearningIndustries
51-200Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Remote Work Options
Parental Leave
401(k) Retirement Plan
Risks
Emerging competition from other AI platforms threatens Level AI's market share.
Rapid AI advancements could render Level AI's offerings obsolete without continuous innovation.
Data privacy regulations may impact operations, especially with new monitoring features.
Differentiation
Level AI integrates human and machine intelligence for enhanced customer experience.
The company eliminates data silos, improving decision-making and customer interactions.
Level AI's subscription model offers steady revenue and customer retention.
Upsides
Increased demand for AI-driven customer service solutions boosts Level AI's market potential.
Growing interest in real-time conversational intelligence tools enhances call center performance.
Rising adoption of generative AI technologies automates tasks and personalizes interactions.
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