Data Engineer

Motherson Technology Services Limited

5 - 10 years

2 - 7 Lacs

bengaluru

Posted:17 hours ago| Platform:

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Skills Required

cloud kafka etl machine learning python pyspark pandas sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities

Design and maintain secure, high-performance ETL and data processing pipelines.
Develop and manage telemetry data workflows using
Kafka
or
MQTT
.
Build and optimize databases (
PostgreSQL
,
MySQL
,
Oracle
,
InfluxDB
,
TimescaleDB
).
Automate data workflows using
Apache Airflow
for scheduling and orchestration.
Implement secure data handling with encryption, signing, and validation.
Integrate
MLFlow
for model tracking and ML lifecycle management.
Create dashboards and visualizations using
Splunk
and
Grafana
.
Deploy and manage data solutions in
AWS
,
Azure
, or
GCP
.
Collaborate with data science and DevOps teams to ensure seamless data-to-ML integration.
Stay current with emerging tools and best practices in data engineering and MLOps.

Required Skills (Mandatory)

Strong proficiency in
Python
and
SQL
.
Hands-on experience with
PostgreSQL
,
MySQL
, or
Oracle DB
.
Expertise in
ETL pipeline development
and
data security (encryption/signing)
.
Proficiency in
Apache Airflow
for orchestration and scheduling.
Experience in
Kafka
or
MQTT
for telemetry data streaming.
Knowledge of
Pandas
,
InfluxDB
, or
TimescaleDB
for data transformation.
Familiarity with
MLFlow
for model tracking and lifecycle management.
Strong analytical, debugging, and problem-solving skills.

Value-Added Skills

Experience with
cloud-based data platforms
(AWS, Azure, GCP).
Hands-on experience with
Grafana
and
Splunk
for monitoring and visualization.
Understanding of
MLOps
,
data governance
, and
DevSecOps
concepts.
Exposure to
CI/CD integration
for data and ML pipelines.
Excellent communication and collaboration skills.
Role & responsibilities

Preferred candidate profile

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