3 Days Left Senior Data Engineer

4 weeks ago

Delhi, India CES Full time

We are looking for an

enthusiastic and highly skilled Senior Data Engineer

to join our growing team and play a key role in shaping

complex data-centric solutions

that power smarter decisions for our clients and internal teams.
As part of our data engineering team, you’ll build and maintain

scalable data systems and pipelines

managing acquisition, storage, processing, and transformation of large datasets from diverse sources. From

data mapping and validation to geocoding, metadata management, and automation , you’ll help deliver the backbone of our analytics and decision-making platforms.
This is a hands-on role where you’ll design and optimize modern data infrastructure, ensuring reliability, scalability, and performance. You’ll collaborate closely with product, engineering, and analytics teams to deliver solutions end-to-end — from concept to deployment — in a fast-paced, agile environment.

What You’ll Do :
Design, build, and maintain

robust, scalable data pipelines

and architectures.
Work with large-scale

structured and unstructured datasets , implementing complex transformations.
Develop and optimize

ETL/ELT workflows

with modern orchestration frameworks.
Ensure

data quality, governance, security, and reliability

across platforms.
Deliver data structures that support

predictive modeling, analytics, and reporting .
Implement

monitoring, alerting, and performance optimization

for data systems.
Collaborate with stakeholders to integrate and deploy

data-driven solutions .
Mentor peers and contribute to

architecture decisions

for cloud-native data environments.

What We’re Looking For:
Bachelor’s/Master’s in Computer Science, Data Engineering, or related field.
5+ years working with

large-scale data systems and pipelines .
Advanced SQL

and strong

data modeling

expertise.
Hands-on experience with

PostgreSQL, MS SQL Server , and modern cloud data warehouses (Snowflake, Redshift).
Strong

Python programming

skills for automation and optimization.
Experience with

ETL/ELT frameworks

and orchestration tools (Airflow, dbt).
Exposure to

cloud platforms (preferably AWS)

and DevOps practices (CI/CD, Docker, Kubernetes, Terraform).
Ability to leverage

AI-assisted coding tools

(GitHub Copilot, ChatGPT, etc.) to boost efficiency.
Excellent

problem-solving and communication

skills with a collaborative mindset.

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