Senior Backend Engineer - Analytics, Noida

Noida

Open 7 months, first seen by us 212 days ago

Pay: Pay not listed
Work setting: Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting
Employment: Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: Full Time
From the employer’s posting

What you’ll work on

Full posting

Design and implement analytical platforms that provide dashboards to customers
Develop and maintain data warehouse schemas, fact tables and dimensions
Oversee data propagation from source databases to warehouse tools
Keep the architecture extensible and scalable for future needs

From the employer’s posting

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

Oversee data propagation processes from source databases to warehouse-specific databases/tools

Ensure the architectural design is extensible and scalable to adapt to future needs.

What you’ll bring

All qualifications

Core experience

3+ years of backend and infrastructure experience
Proven experience building high-scale data platforms
Strong data warehouse schema design (star schema, fact tables, dimensions)
Hands-on work with large-scale databases, messaging systems and job queues
Degree from a tier 1 engineering institute with top technology company experience

Qualification wording

3+ years of Backend and Infrastructure Experience with a strong track record in development, architecture and design.

Proven experience in building high-scale data platforms.

Strong expertise in data warehouse schema design (star schema, fact tables, dimensions).

Hands-on experience with large-scale databases, high-scale messaging systems and real-time Job Queues.

B.E/B.Tech/M.E/M.Tech/PhD from tier 1 Engineering institutes with relevant work experience with a top technology company.

Education & alternatives

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.

Apply at Levelai

Posting record

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Open 7 monthsWe first saw this posting 212 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Apr 15, 2026212 days ago
Recorded sightings: 150
Last seen by us: Nov 13, 2026
Employer says posted: Aug 20, 2025

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 212

Up longer than most. Similar jobs usually come down between day 6 and day 56.

From 13,630 similar postings that came down. Coming down is not always a hire.

Levelai is hiring

3 open jobs

No new data jobs since April

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Java
Python
SQL
AWS
Azure
BigQuery
dbt
Fivetran
Kafka
Redis
Redshift
Snowflake
Spark
Airflow
Django
Luigi
GCP
PostgreSQL

Where the posting names them

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.

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.

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.

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.

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.

Nice to have: - Experience with Google Cloud, Django, Postgres, Celery, Redis. - Some experience with AI Infrastructure and Operations.

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.

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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

Employment type

Full Time

Source details

View original posting ↗

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