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Urgent! Senior Data Engineer Job Opening In India, India – Now Hiring Fluent Health

Senior Data Engineer



Job description

About Us:
Fluent Health is a dynamic healthcare startup revolutionizing how you manage your healthcare and that of your family.

The company will provide customers with high-quality, personalized options, credible information through trustworthy content, and absolute privacy.

To assist us in our growth journey, we are seeking a highly motivated and experienced

Senior Data Engineer

to play a pivotal role in future success.

Company Website- https://fluentinhealth.com/

Job Description:
We’re looking for a

Senior Data Engineer

to lead the design, implementation, and optimization of our analytical and real-time data platform.

In this hybrid role, you’ll combine hands-on data engineering with high-level architectural thinking to build scalable data infrastructure with ClickHouse as the cornerstone of our analytics and data warehousing strategy.

You’ll work closely with engineering, product, analytics, and compliance teams to establish data best practices, ensure data governance, and unlock insights for internal teams and future data monetization initiatives.

Responsibilities:
Architecture & Strategy:
Own and evolve the

target data architecture , with a focus on

ClickHouse

for large-scale analytical and real-time querying workloads.
Define and maintain a

scalable and secure data platform architecture

that supports various use cases including real-time analytics, reporting, and ML applications.
Set

data governance and modeling standards , and ensure data lineage, integrity, and security practices are followed.
Evaluate and integrate complementary technologies into the data stack (e.g., message queues, data lakes, orchestration frameworks).

Data Engineering:
Design, develop, and maintain robust

ETL/ELT pipelines

to ingest and transform data from diverse sources into our data warehouse.
Optimize

ClickHouse schema and query performance

for real-time and historical analytics workloads.
Build data APIs and interfaces for product and analytics teams to interact with the data platform.
Implement monitoring and observability tools to ensure pipeline reliability and data quality.

Collaboration & Leadership:
Collaborate with data consumers (e.g., product managers, data analysts, ML engineers) to understand data needs and translate them into scalable solutions.
Work with security and compliance teams to implement

data privacy, classification, retention, and access control policies .
Mentor junior data engineers and contribute to hiring efforts as we scale the team.

Qualifications:
5-7 years

of experience in

Data Engineering , with at least

2-4 years

in a

Senior or Architectural

role.
Expert-level proficiency

in

ClickHouse

or similar columnar databases (e.g., BigQuery, Druid, Redshift).
Proven experience designing and operating scalable

data warehouse and data lake architectures .
Deep understanding of

data modeling ,

partitioning ,

indexing , and

query optimization

techniques.
Strong experience building

ETL/ELT pipelines

using tools like Airflow, dbt, or custom frameworks.
Familiarity with

stream processing

and

event-driven architecture

(e.g., Kafka, Pub/Sub).
Proficiency with

SQL

and at least one programming language like

Python ,

Scala , or

Java .
Experience with

data governance ,

compliance frameworks

(e.g., HIPAA, GDPR), and

data cataloging

tools.
Knowledge of

real-time analytics

use cases and streaming architectures.
Familiarity with

machine learning pipelines

and integrating data platforms with ML workflows.
Experience working in regulated or high-security domains like

Healthtech ,

Fintech , or

Enterprise SaaS.


Required Skill Profession

Computer Occupations



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