Data Lead
1 week ago
Notice Period-Immediate Joiner or Max 10 days (Do not share long notice period profile.)
Permanent Payroll - Anlage Infotech
Client - Orion Innovation
Location- Kochi - Chennai - Coimbatore - HYBRID (2/3 days in a week)
Role & responsibilities -
Key Responsibilities:
- Lead the design and implementation of robust data pipelines and architectures using Azure Databricks,
ADF, and PySpark.
- Provide technical leadership and mentoring to a team of data engineers.
- Drive the adoption of best practices in data engineering, coding standards, and data quality assurance.
- Collaborate with cross-functional teams including data science, product, business, and analytics to define
and deliver data-driven solutions.
- Own end-to-end delivery of data initiatives, ensuring projects are delivered on time and within scope.
- Architect scalable solutions using Azure cloud-native services, ensuring performance, security, and cost
optimization.
- Establish and monitor SLAs for data pipelines, orchestrate job schedules, and ensure high availability.
- Act as a key stakeholder in data governance, data cataloging, and metadata management efforts.
- Drive continuous improvement in development processes, automation, and CI/CD pipelines.
Required Qualifications:
- Bachelors or Master's degree in Computer Science, Engineering, or a related discipline.
- 5+ years of experience in data engineering, with 2+ years in a leadership or team lead capacity.
Proven expertise in:
Azure Databricks (including Delta Lake, Spark optimizations)
- Azure Data Factory
- PySpark
- Hands-on experience with Azure Data Lake, SQL, and distributed data processing.
- Solid understanding of data architecture patterns, data modeling, and performance tuning.
- Strong experience in stakeholder management and cross-functional collaboration.
- Experience with CI/CD tools (Azure DevOps, GitHub Actions, etc.) and DevOps practices.
- Knowledge of cloud cost optimization, security, and compliance in Azure.
Preferred Qualifications:
- Experience with Azure Synapse Analytics, Azure Functions, Event Hubs, or Stream Analytics.
- Familiarity with Agile/Scrum methodologies.
- Exposure to data governance frameworks and tools like Purview.
- Understanding of business KPIs and ability to translate business needs into technical solutions.
- Excellent communication, leadership, and people management skills.
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