Data Integration Engineer

1 week ago

Bengaluru, Karnataka, India RM Technologies Full time ₹ 14,00,000 - ₹ 15,00,000 per year

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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