Senior Backend Engineer - Analytics, Noida

Level AI; Dadri; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Level AI is seeking a skilled Backend/Data Engineer in India to design analytical platforms and maintain scalable data warehouses. You will engineer star schemas, fact tables, and dimensions to enable fast, reliable querying and dashboards for customers.

The role covers data propagation and ensuring timeliness across source-to-warehouse migrations. The ideal candidate has 3+ years' backend experience, strong SQL, and hands-on work with large-scale databases and real-time queues.

Qualifications

• B.E./B.Tech./M.E./M.Tech./PhD from tier 1 institutes with relevant tech experience.
• 3+ years of backend and infrastructure experience with strong architecture and design.
• Hands-on with large-scale databases and real-time queues.
• Experience with navigating large, complex codebases and architectural patterns.
• Proven experience building high-scale data platforms.
• Strong data warehouse schema design (star schemas, facts, dimensions).
• Experience with data movement, transformation, and integration tools.
• Ability to implement best practices for scalable data architectures.

Responsibilities

• Design and implement analytical platforms with insightful dashboards for customers.
• Develop and maintain data warehouse schemas to support fast querying.
• Oversee data propagation from source databases to warehouse targets ensuring accuracy and timeliness.
• Ensure the architectural design is extensible and scalable for future needs.

Skills

Data modelling

Data warehousing

ETL/ELT

SQL proficiency

Programming (Python/Java)

Data integration

Data pipeline management

APIs & data feeds

Education

B.E./B.Tech./M.E./M.Tech./PhD from tier 1 institutes

Tools

Snowflake

Amazon Redshift

Google BigQuery

Azure Synapse Analytics

Apache NiFi

Apache Airflow

Informatica

Talend

dbt

Kafka

Spark

AWS Glue

Fivetran

Stitch

Luigi

Django

PostgreSQL

Celery

Redis

Job description

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionises customer engagement by transforming contact centres into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organisations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.

Competencies:

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.

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.

Requirement -

• Qualification: 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.

Nice to have:

• Experience with Google Cloud, Django, Postgres, Celery, Redis.
• Some experience with AI Infrastructure and Operations.

To learn more visit: https://thelevel.ai/

Funding: https://www.crunchbase.com/organization/level-ai

LinkedIn: https://www.linkedin.com/company/level-ai/

Our AI platform: https://www.youtube.com/watch?v=g06q2V_kb-s