Senior Backend Engineer - Analytics, Noida

Level AI; Bengaluru; On-site; INR 6,679,000 - 10,496,000; Full time

Job summary

Level AI in Bengaluru, India, is seeking a Backend and Infrastructure Engineer to join our data platform team. You will design analytical platforms and maintain data warehouse schemas to support scalable analytics for customers.

You will work with Snowflake, BigQuery, Airflow, and real-time data pipelines, building robust data movement and transformation processes. A strong foundation in SQL, Python or Java, and API integrations is essential.

Qualifications

• BE/B.Tech/ME/MTech/PhD from tier 1 institutes with relevant work experience at a top tech company.
• 3+ years 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 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)

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

Data modeling

Data warehousing

ETL/ELT

SQL proficiency

Python or Java

Data integration

Data pipeline orchestration

APIs and 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

Apache Kafka

Apache Spark

AWS Glue

Fivetran

Stitch

Postgres

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

Requirements

• 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 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.