Job Description

Overview:

We are looking for a skilled GCP Data Engineer with 3 to 10 years of real hands-on

experience in data ingestion, data engineering, data quality, data governance, and cloud

data warehouse implementations using GCP data services. The ideal candidate will be

responsible for designing and developing data pipelines, participating in architectural

discussions, and implementing data solutions in a cloud environment.

Key Responsibilities:

? Collaborate with stakeholders to gather requirements and create high-level and

detailed technical designs.

? Develop and maintain data ingestion frameworks and pipelines from various data

sources using GCP services.

? Participate in architectural discussions, conduct system analysis, and suggest

optimal solutions that are scalable, future-proof, and aligned with business

requirements.

? Design data models suitable for both transactional and big data environments,

supporting Machine Learning workflows.

? Build and optimize ETL/ELT infrastructure using a variety of data sources and GCP

services.

? Develop and implement data and semantic interoperability specifications.

? Work closely with business teams to define and scope requirements.

? Analyze existing systems to identify appropriate data sources and drive continuous

improvement.

? Implement and continuously enhance automation processes for data ingestion and

data transformation.

? Support DevOps automation efforts to ensure smooth integration and deployment of

data pipelines.

? Provide design expertise in Master Data Management (MDM), Data Quality, and

Metadata Management.

Skills and Qualifications:

? Overall 3-10 years of hands-on experience as a Data Engineer, with at least 2-3

years of direct GCP Data Engineering experience.

? Strong SQL and Python development skills are mandatory.

? Solid experience in data engineering, working with distributed architectures,

ETL/ELT, and big data technologies.

? Demonstrated knowledge and experience with Google Cloud BigQuery is a must.

? Experience with DataProc and Dataflow is highly preferred.

? Strong understanding of serverless data warehousing on GCP and familiarity with

DWBI modeling frameworks.

? Extensive experience in SQL across various database platforms.

? Any BI tools Experience is also preferred.

? Experience in data mapping and data modeling.

? Familiarity with data analytics tools and best practices.

? Hands-on experience with one or more programming/scripting languages such as

Python, JavaScript, Java, R, or UNIX Shell.

? Practical experience with Google Cloud services including but not limited to:

o BigQuery, BigTable

o Cloud Dataflow, Cloud Dataproc

o Cloud Storage, Pub/Sub

o Cloud Functions, Cloud Composer

o Cloud Spanner, Cloud SQL

? Knowledge of modern data mining, cloud computing, and data management tools

(such as Hadoop, HDFS, and Spark).

? Familiarity with GCP tools like Looker, Airflow DAGs, Data Studio, App Maker,

etc.

? Hands-on experience implementing enterprise-wide cloud data lake and data

warehouse solutions on GCP.

? GCP Data Engineer Certification is highly preferred.

Job Type: Full-time

Pay: ?500,298.14 - ?1,850,039.92 per year

Benefits:

Health insurance
Schedule:

Rotational shift
Work Location: In person