
Calfus Inc
2 weeks ago
About The Role
As a Data Engineering Lead BI Analytics & DWH , you will play a pivotal role in designing and implementing comprehensive business intelligence solutions that empower our organization to make data-driven decisions.
You will leverage your expertise in Power BI, Tableau, and ETL processes to create scalable architectures and interactive visualizations.
Skills
This position requires a strategic thinker with strong technical skills and the ability to collaborate effectively with stakeholders at all Youll Do :
- Data Integration : Oversee the ETL processes using SSIS to ensure efficient data extraction, transformation, and loading into data warehouses.
- Data Modelling : Create and maintain data models that support analytical reporting and data visualization initiatives.
- Database Management : Utilize SQL to write complex queries, stored procedures, and manage data transformations using joins and cursors.
- Visualization Development : Lead the design of interactive dashboards and reports in Power BI and Tableau, adhering to best practices in data visualization.
- Collaboration : Work closely with stakeholders to gather requirements and translate them into technical specifications and architecture designs.
- Performance Optimization : Analyse and optimize BI solutions for performance, scalability, and reliability.
- Data Governance : Implement best practices for data quality and governance to ensure accurate reporting and compliance.
- Team Leadership : Mentor and guide junior BI developers and analysts, fostering a culture of continuous learning and improvement.
- Azure Databricks : Leverage Azure Databricks for data processing and analytics, ensuring seamless integration with existing BI your first day, we'll expect you to have :
- Bachelors degree in computer science, Information Systems, Data Science, or a related field.
- 6-12 years of experience in BI architecture and development, with a strong focus on Power BI and Tableau.
- Proven experience with ETL processes and tools, especially SSIS.
- Strong proficiency in SQL Server, including advanced query writing and database management.
- Exploratory data analysis with Python.
- Familiarity with the CRISP-DM model.
- Ability to work with different data models.
- Familiarity with databases like Snowflake, Postgres, Redshift & Mongo DB.
- Experience with visualization tools such as Power BI, Quick sight and Plotly and or Dash.
- Code quality and management using version control and collaboration in data engineering projects.
- Strong programming foundation with Python with versatility to handle as :
- Data Manipulation and Analysis : using Pandas, NumPy & PySpark.
- Data serialization & formats like JSON, CSV and Parquet & Pickle.
- Database interaction to query cloud-based data warehouses.
- Data Pipeline and ETL tools like Airflow for orchestrating workflows and, managing ETL pipelines : Scripting and automation.
- Cloud services & tools such as S3, AWS Lambda to manage cloud be super excited if you have :
- Azure SDK.
- Ability to interact with REST APIs and perform web scraping tasks.
- BI Architecture & DWH Solution Design leveraging tools such as Power BI and :
At Calfus, we value our employees and offer a strong benefits package. This includes medical, group, and parental insurance, coupled with gratuity and provident fund options.
Further, we support employee wellness and provide birthday leave as a valued benefit.
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Calfus Inc
2 weeks ago
Bengaluru, Karnataka, India Calfus inc Full timeAbout the role : As a Data Engineering Lead BI Analytics & DWH , you will play a pivotal role in designing and implementing comprehensive business intelligence solutions that empower our organization to make data-driven decisions. You will leverage your expertise in Power BI, Tableau, and ETL processes to create scalable architectures and interactive...
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