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Data Integration Engineer Azure- Lead Consultant
4-8 years
Kolkata, Mumbai, New Delhi + 4 more
1 vacancy
Data Integration Engineer Azure- Lead Consultant
Lingaro
posted 16d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools, technologies, and methodologies. Stay updated with the latest advancements in data engineering and ensure the team follows best practices and industry standards.
- Collaborate with stakeholders to understand project requirements, define scope, and create project plans.
- Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards. Monitor progress, identify risks, and implement mitigation strategies.
- Align coding standards, conduct code reviews to ensure proper code quality level.
- Identify and introduce quality assurance processes for data pipelines and workflows.
- Optimize data processing and storage for performance, efficiency and cost savings.
- Evaluate and implement new technologies to improve data engineering processes on various aspects (CICD, Quality Assurance, Coding standards).
- Maintain technical documentation of the project, control validity and perform regular reviews of it.
- Ensure compliance with security standards and regulations.
- A bachelors or master s degree in computer science, Information Systems, or a related field is typically required. Additional certifications in cloud are advantageous.
- Minimum of 4 years of experience in data engineering or a related field.
- Candidate should be able to work in US shift timing (7:30 PM IST to 3:30 AM IST)
- ETL Tools, including Azure Data Factory, Azure Databricks, Data Lake - implementing data ingestion pipelines from multiple data sources
- Databricks/Spark development
- Very good knowledge of cloud data services, data warehousing, big data technologies, and data lakes. Especially Azure, DataBricks
- SQL - designing, building, and managing SQL Server databases in the Azure cloud
- Programming skills for data analysis (especially PySpark, SparkSQL, Python, SQL).
- Understanding of data visualization tools (e.g., Power BI)
Employment Type: Full Time, Permanent
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