Lead Data Engineer

Overview

Job Description :
Key Responsibilities:
Exp : 10+years

Location : Coimbatore

Mandatory Skills

Azure SQL, Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse, T-SQL, DBT, Snowflake, BigQuery, Databricks, ETL/ELT, PySpark, Data Modeling, Data Warehousing, Data Analytics, Data Visualization, Power BI, Tableau, Agile Scrum, IT Service Management, Client Services, and Techno-Functional Management.

• Database Management: Proficiency in SQL and NoSQL databases, understanding database structure principles, and experience with database design and implementation.
• Data Modeling: Ability to create and manage data models, including conceptual, logical, and physical models.
• Data Integration: Skills in integrating data from various sources, ensuring data consistency and quality.
• Data Warehousing: Knowledge of data warehousing concepts and experience with data warehousing solutions.
• Data Governance: Understanding of data governance principles, including data quality management, data stewardship, and compliance with regulations.
• Cloud Services: Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with cloud-based data solutions.
• Data Visualization: Proficiency with data visualization tools like Tableau, Power BI, or similar, to present data insights effectively.
• Programming Languages: Knowledge of programming languages such as Python, R, or Java, which are often used in data processing and analysis.
• Analytical Skills: Strong analytical and problem-solving skills to interpret complex data and provide actionable insights.
• Communication Skills: Excellent communication skills to convey technical information to non-technical stakeholders and collaborate with various teams.
• Project Management: Ability to manage projects, prioritize tasks, and meet deadlines.
• Leadership: Strong leadership skills to guide and mentor team members and drive data initiatives.

96293 11599

aswini.u@applogiq.org

Job Type: Full-time

Benefits:

• Health insurance

Schedule:

• Day shift

Work Location: In person