Company Overview:
Sysmind is a global technology services firm specializing in digital transformation, cloud solutions, and data engineering. We partner with enterprises across the healthcare, finance, and retail sectors to modernize their data ecosystems and drive actionable insights. With a focus on high-performance engineering, we help our clients navigate complex technical landscapes by deploying scalable, cloud-native architectures that support rapid business growth and operational efficiency.
Role Overview:
As an Azure Data Engineer at Sysmind, you will be responsible for designing and maintaining robust data pipelines that power our clients' analytical capabilities. You will work closely with cross-functional teams, including data scientists, architects, and business stakeholders, to transform raw data into high-quality, accessible assets. Your work will directly influence how our clients leverage their data to make informed strategic decisions, ensuring that our data platforms remain performant, secure, and scalable in a fast-paced cloud environment.
Key Responsibilities:
- Design and implement end-to-end ETL/ELT pipelines using Azure Data Factory to ensure seamless data movement across disparate systems.
- Develop and optimize complex data processing workflows using PySpark and Azure Databricks to handle large-scale data transformation tasks.
- Architect and maintain scalable Data Lake and Data Warehousing solutions that support enterprise-level reporting and advanced analytics.
- Execute sophisticated data modeling strategies to ensure data integrity, consistency, and performance across all analytical platforms.
- Collaborate with stakeholders to translate business requirements into technical specifications, ensuring the delivered solutions meet specific performance and scalability goals.
- Monitor and troubleshoot data pipelines to identify bottlenecks, ensuring high availability and reliability of data delivery for end-users.
Required Skillset:
- Demonstrated expertise in building and managing cloud-based data solutions within the Azure ecosystem, specifically utilizing Azure Data Factory and Azure Databricks.
- Strong proficiency in writing complex SQL queries and optimizing database performance for large-scale data warehousing environments.
- Advanced programming capabilities in Python and PySpark to build efficient, reusable code for data processing and transformation.
- Proven ability to design logical and physical data models that support complex business intelligence and reporting needs.
- Excellent communication skills with the ability to articulate technical concepts to non-technical stakeholders and work effectively in a collaborative, team-oriented environment.
- Ability to adapt to the dynamic requirements of a project-based environment in Bangalore, maintaining a high standard of code quality and documentation.
- Candidates should possess 5 - 9 years of relevant experience in data engineering roles.
SysMind