Posted on: 26/03/2026
Company Overview :
Deqode is a global technology consulting and services company specializing in blockchain, data engineering, and cloud solutions. We empower businesses across various industries, including finance, healthcare, and supply chain, to leverage cutting-edge technologies for enhanced efficiency, security, and innovation. Our expertise helps organizations transform their data into actionable insights, build robust and scalable applications, and navigate the complexities of the digital landscape.
Role Overview :
As a Data Engineer at Deqode, you will play a crucial role in designing, building, and maintaining our data infrastructure. You will collaborate closely with data scientists, analysts, and other engineers to ensure the reliable and efficient delivery of data for various business needs. Your work will directly impact our ability to provide data-driven solutions to our clients, enabling them to make informed decisions and achieve their strategic goals.
Key Responsibilities :
- Design and implement scalable ETL pipelines to ingest, transform, and load data from diverse sources into our data warehouse.
- Develop and maintain data models that support analytical and reporting requirements.
- Build and optimize data warehousing solutions using cloud-based technologies such as AWS and Azure.
- Implement data quality checks and monitoring systems to ensure data accuracy and reliability.
- Collaborate with data scientists and analysts to understand their data needs and provide them with the necessary data infrastructure and tools.
- Automate data integration processes using scripting languages like Python and Shell Scripting.
- Contribute to the development of data architecture standards and best practices.
Required Skillset :
- Demonstrated ability to design and implement ETL processes using tools like Spark and Python.
- Proven expertise in data modeling and data warehousing concepts.
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP for data storage and processing.
- Strong proficiency in SQL and experience with relational databases.
- Ability to write and maintain Shell Scripts for automation tasks.
- Excellent communication and collaboration skills to work effectively with cross-functional teams.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Adaptable to work in a fast-paced environment and learn new technologies quickly.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1623731