Business Intelligence Engineer

4 weeks ago

Bengaluru, India ConsultBae Full time

Job Description :

Function :


- Data Science and Analysis


- Business Intelligence, Data Science / Machine Learning

- Data Modelling ,Data Visualization , ETL, SQL, Business Intelligence

- The Business Intelligence Engineer role is essential for helping organizations harness the power of data to make informed decisions, optimize processes, and achieve business objectives.

- Successful candidates will have a strong technical skill set, a deep understanding of data, and the ability to collaborate effectively across different teams.

- In this role, you will be responsible for designing, developing, and maintaining data pipelines, data models, and visualizations to provide valuable insights to various business units.

- This position requires experience in Python, SQL, Apache Airflow, dbt (Data Build Tool), and Data Visualization.

Responsibilities :

- Design, implement, and maintain data pipelines using Apache Airflow, ensuring the extraction, transformation, and loading (ETL) of data from various sources.

- Collaborate with engineers and analysts to ensure efficient and reliable data pipelines.

- Monitor and optimize data pipelines for performance and reliability.

- Utilize SQL and Python to extract data from various sources, including databases, APIs, and data warehouses.

- Utilize dbt to transform raw data into structured, clean, and well-documented datasets.

- Maintain and evolve data models to support evolving business requirements.

- Conduct data analysis to identify trends, patterns, and insights that can drive business decisions.

- Develop and maintain data models that support business intelligence and reporting needs.

- Create interactive reports and dashboards using business intelligence tools like Apache Superset, Amazon QuickSight, Tableau, Power BI, or custom Python solutions.

- Ensure that stakeholders have access to actionable insights through user-friendly dashboards.

- Collaborate with cross-functional teams, including engineers, data scientists, and business stakeholders, to understand and address their data needs and priorities.

- Communicate insights effectively and present data-driven recommendations to make data-driven decisions.

- Implement data quality checks and validations to ensure data accuracy and consistency.

- Maintain comprehensive documentation of data pipelines, data models, and reporting solutions.

- Share knowledge and best practices with colleagues to promote a data-driven culture.

- Identify opportunities to optimize query performance and data processing efficiency.

- Ensure data solutions are scalable to accommodate growing data volumes and evolving business needs.

Requirements :

- Strong proficiency in SQL for data extraction, transformation, and analysis.

- Proficiency in Python for data processing, scripting, and automation.

- Experience with Apache Airflow for building and managing ETL workflows.

- Knowledge of DBT (Data Build Tool) for transforming and modeling data in a version-controlled environment.

- Familiarity with Amazon QuickSight or similar data visualization tools.

- Strong problem-solving and critical-thinking skills.

- Excellent communication and collaboration skills.

- Attention to detail and a strong commitment to data quality.

- Knowledge of database systems, data warehousing, and data integration concepts.

- Bachelor's degree in a relevant field (e.g Computer Science, Data Science, Business, or Engineering).

- Relevant certifications in data engineering, business intelligence, or related fields.


- Experience with cloud platforms (e.g., AWS, Azure, GCP).

Benefits at G2 Risk Solutions :

- Competitive compensation


- Career advancement opportunities


- 401K matching


- Work-life balance


- Collaborative atmosphere


- Employee recognition


- Remote-friendly environment

(ref:hirist.tech)

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