Sr. Backend Engineer - Analytics, Noida at Level AI

Noida, Uttar Pradesh, India

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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

Key technologies and capabilities for this role

PythonJavaSQLSnowflakeAmazon RedshiftGoogle BigQueryAzure Synapse AnalyticsApache AirflowApache NiFiInformaticaTalenddbtApache KafkaApache SparkAWS GlueFivetranStitchLuigi

Questions & Answers

Common questions about this position

What qualifications are required for this Sr. Backend Engineer role?

Candidates need a B.E/B.Tech/M.E/M.Tech/PhD from tier 1 Engineering institutes with relevant work experience at a top technology company, plus 3+ years of Backend and Infrastructure experience.

What key skills are needed for this position?

Required skills include strong expertise in data warehouse schema design (star schema, fact tables, dimensions), experience with data warehousing platforms like Snowflake and BigQuery, advanced SQL proficiency, ETL/ELT tools like Airflow and dbt, and programming in Python or Java.

Is this a remote position or does it require working in Noida?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What experience makes a candidate stand out for this role?

Hands-on experience with large-scale databases, high-scale messaging systems, real-time Job Queues, building high-scale data platforms, and navigating large scale systems and complex code-bases is highly valued.

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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Sr. Backend Engineer - Analytics, Noida at Level AI

Requirements

Responsibilities

Skills

Questions & Answers

Level AI

About Level AI

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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