Job Title:
Senior Data Platform Engineer / Lead Data Engineer / Data Infrastructure Engineer
Location: Anywhere in India
Experience: 7 to 10 Years
Role Summary
We are hiring a
Senior Data Platform Engineer
to build and scale
modern data infrastructure
,
data pipelines
, and
cloud-based data platforms
supporting
analytics, business intelligence, and machine learning systems
.
The ideal candidate has strong experience in
ETL/ELT development, distributed data systems, real-time streaming, and cloud data platforms (AWS/GCP/Azure)
, along with expertise in
data governance, data modeling, and data observability
.
Core Skills
Data Engineering, Data Platform, ETL, ELT, Data Pipelines, Big Data, Distributed Systems, Data Architecture, Data Modeling,
SQL, Python
, (AWS,),
Snowflake
, BigQuery, Redshift,
Apache Airflow
, Dagster, Prefect, Apache Kafka, Apache Flink, AWS Kinesis, dbt,
Terraform
,
Data Governance, Data Quality, Data Observability,
Machine Learning Pipelines, Data Mesh, PII Compliance, SOX Compliance
Key Responsibilities
Build and maintain scalable
ETL/ELT pipelines
for batch and real-time data processing
Design and optimize
data platform architecture
and
data infrastructure
Develop
real-time streaming pipelines
using Kafka / Flink / Kinesis
Implement
data modeling and transformation frameworks (dbt, SQL)
Ensure
data reliability, scalability, and performance optimization
Establish
data governance, data lineage, access control, and compliance frameworks
Build
data observability systems
(data quality, schema validation, monitoring dashboards)
Collaborate with
data science, analytics, product, and engineering teams
Support
machine learning pipelines and feature engineering workflows
Mentor engineers and drive
best practices in data engineering
Required Qualifications
5+ years of experience in
Data Engineering / Data Platform Engineering
Strong expertise in
Python and SQL
Experience with
cloud platforms (AWS)
Hands-on experience with
data warehouses (Snowflake / BigQuery / Redshift)
Experience with
workflow orchestration tools (Airflow / Dagster / Prefect)
Knowledge of
real-time data streaming technologies (Kafka / Flink / Kinesis)
Experience with
Infrastructure as Code (Terraform)
Strong understanding of
data modeling, distributed systems, and system design
Strong Signals (Good Candidates)
Experience with
Kafka / streaming pipelines
Built
scalable distributed systems
Hands-on with
dbt / data modeling
Worked on
ML pipelines / feature stores
Experience with
Terraform / Infra as Code
Designed data platform architecture end-to-end
Implemented data governance & compliance frameworks
Experience with Data Mesh / domain-driven design
Led teams / mentored engineers
Built self-service data platforms
