Junior Data Engineer
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Monthly Salary:
Experience Required:
Posted on:
4 days ago
Vacancies:
1 Vacancy
Job Summary
Job Description: Data Analyst/Data Engineer (2 Years Experience)
Type: Full-time
About the Role
We are looking for a highly motivated Data Analyst / Data Engineer with 2 years of experience in data transformation analysis and visualization. The ideal candidate should have a solid understanding of SQL data modeling ETL processes and business intelligence tools.
You will work on designing building and optimizing datasets and analytical solutions for e-learning and business intelligence reporting.
Key Responsibilities
Design and develop data pipelines for ingestion transformation and reporting using SQL and Python.
Create and maintain analytical tables views and materialized views for dashboarding and advanced analytics.
Perform in-depth data analysis and validation to ensure data integrity and accuracy.
Collaborate with stakeholders to translate business requirements into technical solutions.
Develop interactive dashboards and reports using tools like Power BI or Tableau.
Optimize database performance (indexing partitioning query tuning).
Work closely with the data engineering team to improve ETL workflows and data quality monitoring.
Required Skills & Qualifications
24 years of professional experience in data analytics or data engineering.
Strong proficiency in SQL (PostgreSQL MySQL).
Experience with ETL tools (Airflow Dataform or custom Python pipelines).
Working knowledge of Python (Pandas NumPy) for data transformation.
Experience with data visualization tools such as Power BI
Understanding of data modeling concepts (star/snowflake schema).
Familiarity with cloud databases (Azure GCP) preferred.
Strong analytical mindset and ability to work independently.
Good-to-Have
Experience with BigQuery Azure Data Studio or dbt.
Exposure to API-based data extraction and automation workflows.
Knowledge of data governance and version control (Git).
Interest in LMS analytics e-learning data or edtech domain.
What Youll Gain
Opportunity to work on end-to-end analytics lifecycle from data ingestion to visualization.
Exposure to enterprise-level data ecosystems and reporting architectures.
Learn modern data engineering best practices and cloud integrations.
Work on projects impacting learning outcomes and education insights at scale.
Required Skills:
Job Description: Data Analyst/Data Engineer (2 Years Experience) Type: Full-time About the Role We are looking for a highly motivated Data Analyst / Data Engineer with 2 years of experience in data transformation analysis and visualization. The ideal candidate should have a solid understanding of SQL data modeling ETL processes and business intelligence tools. You will work on designing building and optimizing datasets and analytical solutions for e-learning and business intelligence reporting. Key Responsibilities Design and develop data pipelines for ingestion transformation and reporting using SQL and Python. Create and maintain analytical tables views and materialized views for dashboarding and advanced analytics. Perform in-depth data analysis and validation to ensure data integrity and accuracy. Collaborate with stakeholders to translate business requirements into technical solutions. Develop interactive dashboards and reports using tools like Power BI or Tableau. Optimize database performance (indexing partitioning query tuning). Work closely with the data engineering team to improve ETL workflows and data quality monitoring. Required Skills & Qualifications 24 years of professional experience in data analytics or data engineering. Strong proficiency in SQL (PostgreSQL MySQL). Experience with ETL tools (Airflow Dataform or custom Python pipelines). Working knowledge of Python (Pandas NumPy) for data transformation. Experience with data visualization tools such as Power BI Understanding of data modeling concepts (star/snowflake schema). Familiarity with cloud databases (Azure GCP) preferred. Strong analytical mindset and ability to work independently. Good-to-Have Experience with BigQuery Azure Data Studio or dbt. Exposure to API-based data extraction and automation workflows. Knowledge of data governance and version control (Git). Interest in LMS analytics e-learning data or edtech domain. What Youll Gain Opportunity to work on end-to-end analytics lifecycle from data ingestion to visualization. Exposure to enterprise-level data ecosystems and reporting architectures. Learn modern data engineering best practices and cloud integrations. Work on projects impacting learning outcomes and education insights at scale.
Required Education:
MBA
