Lead Data Engineer
AppLogiQ
Date: 3 weeks ago
City: Coimbatore, Tamil Nadu
Contract type: Full time

Job Description
Key Responsibilities :
Key Responsibilities :
- Lead and manage the entire offshore data engineering team, providing guidance, mentorship, and performance management.
- Foster a collaborative and high-performing team environment.
- Oversee resource allocation, project planning, and task prioritization.
- Conduct regular team meetings and provide progress updates to stakeholders.
- Design and implement effective database solutions and data models to store and retrieve company data.
- Examine and identify database structural necessities by evaluating client operations, applications, and programming requirements.
- Assess database implementation procedures to ensure compliance with internal and external regulations.
- Install and organize information systems to guarantee company functionality.
- Prepare accurate database design and architecture reports for management and executive teams.
- Oversee the migration of data from legacy systems to new solutions.
- Monitor system performance by performing regular tests, troubleshooting, and integrating new features.
- Recommend solutions to improve new and existing database systems.
- Design and implement scalable and efficient ETL/ELT processes using Azure Data Factory, Databricks, and other relevant tools.
- Build and maintain data warehouses and data lakes using Azure Synapse, Snowflake, BigQuery, and Azure Data Lake.
- Develop and optimize data pipelines for data ingestion, transformation, and loading.
- Implement data quality checks and validation processes.
- Support data analytics initiatives by providing access to reliable and accurate data.
- Develop data visualizations and dashboards using Power BI and Tableau.
- Collaborate with data scientists and business analysts to translate business requirements into technical solutions.
- Educate staff members through training and individual support.
- Work within an Agile Scrum framework.
- Utilize IT Service Management best practices.
- Provide Techno-Functional Management.
- Azure SQL
- Azure Data Factory
- Azure Data Lake
- Azure Databricks
- Azure Synapse
- Snowflake
- BigQuery
- T-SQL
- DBT
- ETL/ELT
- PySpark
- Data Warehousing
- Data Analytics
- Data Visualization
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
- Proven experience leading and managing data engineering teams.
- Extensive experience in designing and implementing data solutions on Azure and other cloud platforms.
- Strong understanding of data warehousing, data modeling, and ETL/ELT concepts.
- Proficiency in SQL and scripting languages (Python, PySpark).
- Excellent communication, leadership, and problem-solving skills.
- Proven experience in client facing roles.
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