Job ID: JD20251202-1156 Experience: 5 yrs Positions: 2
Systech is a modern Data and Analytics consulting firm helping clients embed data-driven capabilities into operations.
We are looking for a skilled and experienced Senior Azure Developer to join our team! As part of the team, you will be involved in the implementation of the ongoing and new initiatives for our company. If you love learning, thinking strategically, innovating, and helping others, this job is for you!
- Demonstrated expertise as a Senior Data Engineer, specializing in Azure cloud services.
-
Highly skilled in Azure Data Factory, Azure Data Lake, Azure Databricks, and Azure Synapse Analytics.
-
Create and execute efficient, scalable, and dependable data pipelines utilizing Azure Data Factory.
-
Utilize Azure Databricks for data transformation and processing.
-
Effectively oversee and enhance data storage solutions, emphasizing Azure Data Lake and other Azure storage services.
-
Construct and uphold workflows for data orchestration and scheduling using Azure Data Factory or equivalent tools.
-
Proficient in programming languages like Python, SQL, PySpark and conversant with pertinent scripting languages.
-
Flexibility to work in overlapping shifts to support On-site (internal, client and business) teams.
ADF,Databricks,PySpark,,,,,,,
5 2
We are looking for a Senior Data Engineer to lead the design, development, and management of scalable data platforms and pipelines. This role demands a strong technical foundation in data architecture, big data technologies, and database systems (both SQL and NoSQL), along with the ability to work across functional teams to deliver robust, secure, and high-performing data solutions.
Design, develop, and maintain end-to-end data pipelines and infrastructure.
Translate business and functional requirements into scalable, well-documented technical solutions.
Build and manage data flows across structured and unstructured data sources, including streaming and batch integrations.
Ensure data integrity and quality through automated validations, unit testing, and robust documentation.
Optimize data processing performance and manage large datasets efficiently.
Monitor and optimize ETL workflows to ensure performance, scalability, and reliability.
Collaborate closely with stakeholders and project teams to align data solutions with business objectives.
Implement and maintain security and privacy protocols to ensure safe data handling.
Lead development environment setup and configuration of tools and services.
Mentor junior data engineers and contribute to continuous improvement and automation initiatives.
Coordinate with QA and UAT teams during testing and release phases.
Strong proficiency in SQL (including procedures, performance tuning, and analytical functions).
Solid understanding of data warehousing concepts, including dimensional modeling and SCDs.
Hands-on experience with scripting languages (Shell / PowerShell).
Familiarity with Cloud and Big data technologies.
Experience working with relational, non-relational databases, and data streaming systems.
Proficiency in data profiling, validation, and testing practices.
Excellent problem-solving, communication (written and verbal), and documentation skills.
Exposure to Agile methodologies and CI/CD practices.
Self-motivated, adaptable, and capable of working in a fast-paced environment.
