Role Description:

As a SDE 3 - Data Engineer, you will play a crucial role in
overseeing the design, development, and maintenance of our organization's data
architecture and infrastructure. You will be responsible for designing and
developing the architecture for the data platform that ensures the efficient
and effective processing of large volumes of data, enabling the business to
make informed decisions based on reliable and high -quality data.

The ideal candidate will have a strong background in data
engineering, excellent leadership skills, and a proven track record of
successfully managing complex data projects.

Responsibilities:

●  Data Architecture and Design:

○       Design and implement scalable
and efficient data architectures to support the organization's data processing
needs

○       Work closely with
cross -functional teams to understand data requirements and ensure that data
solutions align with business objectives

●  ETL Development:

○       Oversee the development of
robust ETL processes to extract, transform, and load data from various sources
into the data warehouse

○       Ensure data quality and
integrity throughout the ETL process, implementing best practices for data
cleansing and validation

●  Big Data Technologies:

○       Stay abreast of emerging trends
and technologies in big data and analytics, and assess their applicability to
the organization's data strategy

○       Implement and optimize big data
technologies to process and analyze large datasets efficiently

●  Cloud Integration:

○       Collaborate with the IT
infrastructure team to integrate data engineering solutions with cloud
platforms, ensuring scalability, security, and performance

●  Performance Monitoring and Optimization:

○       Implement monitoring tools and
processes to track the performance of data pipelines and proactively address
any issues

○       Optimize data processing
workflows for improved efficiency and resource utilization

●  Documentation:

○       Maintain comprehensive
documentation for data engineering processes, data models, and system
architecture

○       Ensure that team members follow
documentation standards and best practices.

●  Collaboration and Communication:

○       Collaborate with data
scientists, analysts, and other stakeholders to understand their data needs and
deliver solutions that meet those requirements

○       Communicate effectively with
technical and non -technical stakeholders, providing updates on project status,
challenges, and opportunities.

Requirements

Qualifications:

●     Bachelor's or Master's degree
in Computer Science, Information Technology, or a related field.

●     5 -7 years of professional
experience in data engineering

●     In -depth knowledge of data
modeling, ETL processes, and data warehousing.

●     In -depth knowledge of building
the data warehouse using Snowflake

●     Should have experience in data
ingestion, data lakes, data mesh and data governance

●     Must have experience in Python programming

●     Strong understanding of big
data technologies and frameworks, such as Hadoop, Spark, and Kafka.

●     Experience with cloud
platforms, such as AWS, Azure, or Google Cloud.

●     Familiarity with database
systems like SQL, NoSQL, and data pipeline orchestration tools.

●     Excellent problem -solving and
analytical skills.

●     Strong communication and
interpersonal skills.

●     Proven ability to work
collaboratively in a fast -paced, dynamic environment.