Senior Backend Engineer - Analytics, Noida
EngineeringData ScienceOtherBackend EngineeringBackend DeveloperSenior Backend Engineer
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Quick Summary
Overview
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.
Requirements Summary
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 :…
Technical Tools
airflowawsazurebigquerydbtdjangogcpjavakafkapostgresqlpythonredissnowflakesparksqldatabase-designetlperformance-optimization
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.
Nice to have:
To learn more visit : https://thelevel.ai/
LinkedIn : https://www.linkedin.com/company/level-ai/
Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s
Location & Eligibility
Where is the job
Noida, India
Hybrid, some on-site time required
Who can apply
IN
Listed under
Worldwide
About this job
- Who can apply
- India
- Posted
- 434 days ago
Listing Details
- Posted
- August 20, 2025
- First seen
- March 26, 2026
- Last seen
- October 29, 2026
Posting Health
- Days active
- 216
- Repost count
- 0
- Trust Level
- 25%
- Scored at
- October 29, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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