Data Integration Engineer
1 day ago
Job Title:
Data Integration Engineer
Location:
Bangalore
Job Type:
Full-time
Exp: 4+
Immediate Joiners Only max 30 days
Budget 15 LPA
Budjet:14 LPA
Role Overview
We are seeking a highly motivated
Data Integration Engineer
to join our engineering team. In this role, you will be responsible for designing and maintaining scalable data pipelines, integrating diverse data sources, and ensuring seamless data availability for analytics and decision-making. You will collaborate with cross-functional teams to build robust, cloud-based data solutions that drive business impact.
Key Responsibilities
- Design, build, and maintain
scalable data pipelines
and APIs using Python. - Integrate data from
third-party APIs, internal systems, and diverse sources
into unified platforms. - Transform
large and unstructured datasets
into structured, usable formats for analytics. - Collaborate with product, engineering, and business teams to
define data requirements and deliver solutions
. - Leverage
AWS services (EC2, S3), Snowflake, and Databricks
to scale and optimize data infrastructure. - Ensure
high performance, reliability, and responsiveness
of data applications. - Write
clean, maintainable, and well-documented code
with a focus on quality and scalability.
Required Skills & Experience
- Strong proficiency in
Python
and data libraries such as Pandas. - Experience with
web frameworks
(Django, FastAPI, or Flask). - Hands-on experience with
NoSQL databases
(MongoDB or similar). - Proficiency in working with
RESTful APIs
and data formats like JSON. - Experience with
AWS services
(EC2, S3) and cloud data platforms (Snowflake, Databricks). - Solid understanding of
data exploration, troubleshooting, and data transformation
. - Real-world experience with
large-scale data systems
in cloud environments. - Ability to work effectively in a
fast-paced, high-growth, and deadline-driven environment
. - Self-starter with strong
problem-solving and ownership
mindset. - Comfortable working with
messy or unstructured data
.
Preferred Qualifications
- Bachelor's or Master's degree in
Computer Science, Engineering, or related field
. - Exposure to
Big Data technologies
(e.g., Spark, Hadoop) and
Machine Learning workflows
is a plus
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