AWS Data Engineer

3 days ago

Bengaluru, Karnataka, India eSkillport Management Services Pvt. Ltd Full time ₹ 15,00,000 - ₹ 25,00,000 per year
Job Description

Job Title: AWS Data Engineer (IoT/Streaming Data)
Location: Chennai or Bangalore.
Experience: 3 Years
Employment Type: Full-time

About the Role
We are seeking a highly skilled AWS Data Engineer to design, build, and optimize
large-scale data pipelines and analytics platforms. The ideal candidate will have
strong hands-on expertise in AWS Glue, Athena, Redshift, PySpark, and SQL,
with a solid understanding of data engineering and data warehousing concepts.
You will work on batch and real-time data streaming solutions to enable data-driven
decision-making across the organization.
What You Will Do
 Design and implement streaming data pipelines from IoT sensors, cameras,
vehicle telemetry, and infrastructure systems.
 Build scalable infrastructure using AWS Kinesis, Apache Flink, and Spark for
real-time and batch workloads.
 Enable time-series feature stores and sliding window processing for mobility
and telemetry patterns.
 Integrate simulation outputs and model predictions into AWS data lakes.
 Maintain data validation, schema versioning, and high-throughput ingestion
pipelines.
 Collaborate with Data Scientists and Simulation Engineers to optimize data
formats (e.g., Parquet, Protobuf, Delta Lake).
 Deploy, monitor, and optimize pipelines on AWS cloud and/or edge
infrastructure.

You Are a Strong Candidate If You Have
 3 years of experience in Data Engineering, preferably with real-time
streaming systems.
 Proficiency in Python, SQL, and distributed data systems (Kinesis, Spark,
Flink, etc.).
 Strong understanding of event-driven architectures, data lakes, and message
serialization.

 Experience with sensor data processing, telemetry ingestion, or mobility data
is a plus.
 Familiarity with Docker, CI/CD, Kubernetes, and cloud-native architectures.
 Experience building workflows and orchestrating pipelines (e.g., Airflow, Step
Functions, Dagster).

Preferred Qualifications
 Exposure to smart city platforms, V2X ecosystems, or other time-series
paradigms.
 Experience integrating data from cameras and IoT sensors into real-time or
batch pipelines.

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