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Ortseam Technologies
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Software engineer - GCP Data Engineer

Software engineer - GCP Data Engineer

Ortseam Technologies

4 - 9 years

10 - 20 Lacs

Bengaluru

Posted:2 days ago| Platform:

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Skills Required

Airflow Bigquery Gcp Cloud Data Flow Apache Beam Data Ingestion Java Transformation Architecture Github composer Dataproc Beam Ci / Cd Tools Software Engineering apache spark Devops Tools Spark Data Processing Data Warehousing Google Cloud Platforms ETL Python

Work Mode

Remote

Job Type

Full Time

Job Description

Job Title: Software Engineer GCP Data Engineering

Work Mode:

Job Summary:

Key Responsibilities:

Design and develop
scalable data processing solutions
using Apache Beam, Spark, and other modern frameworks.
Build and manage data pipelines on
Google Cloud Platform (GCP)
using services like
Dataflow, Dataproc, Composer (Airflow), and BigQuery
.
Collaborate with data architects and analysts to understand data models and implement efficient ETL solutions.
Leverage
DevOps and CI/CD best practices
for code management, testing, and deployment using tools like GitHub and Cloud Build.
Ensure
data quality, performance tuning, and reliability
of data processing systems.
Work with cross-functional teams to understand business requirements and deliver robust data infrastructure to support analytical use cases.

Required Skills:

4 to 6 years of professional experience
as a Data Engineer working on cloud platforms, preferably
GCP
.
Proficiency in
Java and Python
with strong problem-solving and analytical skills.
Hands-on experience with
Apache Beam
,
Apache Spark
,
Dataflow
,
Dataproc
,
Composer (Airflow)
, and
BigQuery
.
Strong understanding of
data warehousing
concepts and
ETL pipeline optimization
techniques.
Experience in
cloud-based architectures
and
DevOps
practices.
Familiarity with
version control (GitHub)
and
CI/CD pipelines
.

Preferred Skills:

Exposure to modern
ETL tools
and data integration platforms.
Experience with
data governance, data quality frameworks
, and metadata management.
Familiarity with performance tuning in distributed data processing systems.

Tech Stack:

Cloud:
GCP (Dataflow, BigQuery, Dataproc, Composer)
Programming:
Java, Python
Frameworks:
Apache Beam, Apache Spark
DevOps:
GitHub, CI/CD tools, Composer (Airflow)
ETL/Data Tools:
Data ingestion, transformation, and warehousing on GCP

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