25 Mar
|
Dcluttr
|
Nellore
Apply on Kit Job: kitjob.in/job/43gsat
Dcluttr is an AI-Copilot for growth. We are challenging a brand’s most trusted decision-making tool - the gut feeling.
n
Role Overview
n
We are looking for a Senior Big Data Engineer with experience in ClickHouse, advanced SQL, and distributed data architectures.
n
You will own the design and optimization of our analytics layer — from raw ingestion to highly optimized analytical queries powering AI-driven decision systems.
n
This is not a generic ETL role.
n
This is a high-performance analytics engineering role.
n
What You’ll Do
n
ClickHouse & Query Engineering
n
- Write and optimize complex analytical queries using:
- Advanced window functions
- Multi-stage aggregations
- JOIN optimizations
- Subquery refactoring
- Optimize partitioning, primary keys, sorting keys, and indexing strategies
- Implement TTL strategies, materialized views, and projections
n
Data Architecture & Pipelines
n
- Build scalable **ETL/ELT pipelines** for batch and near-real-time data
- Design streaming architectures using Kafka or similar systems
- Handle data ingestion from multiple services and external sources
n
Distributed Systems & Scale
n
- Design reliable batch and streaming flows between services
- Implement data backfills and reprocessing strategies
n
Workflow Orchestration
n
- Build and manage workflows using Temporal or Airflow
- Handle failure scenarios, retries, and observability of pipelines
n
Required Skills
n
- Strong hands-on experience with ClickHouse in production
- Expertise in writing highly optimized SQL (advanced aggregations, window functions, performance tuning)
- Deep understanding of ClickHouse internals:
- MergeTree engines
- Partitioning strategies
- Materialized views
- TTL
- Replication & sharding
- Experience building batch + streaming architectures
- Proficiency in Java (preferred) and/or Python
- Experience with Kafka or similar event streaming systems
- Strong understanding of distributed systems and data modeling
- Experience handling large-scale datasets (1000GB+ ideally TB-scale)
n
Why Join Us?
n
- Innovate at Scale: Work on cutting-edge, data-driven apps that change the game for businesses.
- Fast-Paced: Join a high-energy team where speed, creativity, and your impact are everything.
- Get Rewarded: Competitive salary, ESOPs, and benefits, plus a chance to own a piece of the pie.
n
You’ll be in a team of high-performing superstars & it’ll be hard to keep up if you’re not one. It will be extremely intense, high ownership & rewarding personally & professionally. If that sounds positive to you, hit apply - we'd love to talk :)
Apply on Kit Job: kitjob.in/job/43gsat
📌 Senior Data Engineer (Nellore)
🏢 Dcluttr
📍 Nellore