Data Engineer (Two-Month Contract)

Learntastic

IndiaremotePosted 2 months ago

Skill Required

Data-EngineeringCloud-Data-Warehouse-EngineeringETL-ELT-EngineeringData-Warehouse-DevelopmentAnalytics-EngineeringContract-Data-EngineerData-EngineerData EngineerAirflowGCPEngineeringanalyticalSnowflakePower BIdesigningBigQueryRedshiftTableauPythonLookerdesignAzureCloudDesign PatternsAPIsdbtETLSQLAWSGitContract

Key highlights

5+ years experience in Data Warehouse Engineering or Data Engineering
Strong SQL skills
Remote work opportunity
Contract duration of 2 months
Experience designing and implementing cloud data warehouse solutions
Requirement for experience with Git and version control

Role overview

Responsibilities

Assess the current data environment and recommend a scalable cloud data warehouse architecture.
Design, build, and optimize a cloud data warehouse and supporting data models.
Build and maintain automated ETL/ELT pipelines from multiple data sources.
Develop analytics ready data sets using dimensional modeling (star/snowflake schemas).
Ensure data quality, integrity, and performance, and governance.
Optimize SQL queries and database performance.
Partner with data analytics and business stakeholders to support business intelligence and reporting.
Document the data architecture, pipelines, and data models, and provide recommendations for future scalability.
Provide regular project updates and recommendations to the CEO.
Production-ready cloud data warehouse
Automated ETL/ELT pipelines for agreed upon data sources
Documented data models
Optimised reporting datasets
Technical architecture diagrams and documentation
Data dictionary and pipeline documentation
Knowledge transfer and handover
Recommendations for future scalability

Requirements

5+ years of experience in Data Warehouse Engineering or Data Engineering, or a similar role.
Strong SQL skills with experience optimizing complex queries and database performance.
Hands-on experience with ETL/ELT pipelines.
Experience designing and implementing cloud data warehouse solutions (e.g., Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse).
Solid understanding of dimensional data modeling (e.g. star and snowflake schemas).
Experience with Git and version control.
Experience designing scalable data architectures.

Nice to have

Experience with Python.
Knowledge of dbt and data orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue.
Experience with AWS, Azure, or Google Cloud.
Familiarity with BI tools such as Power BI, Tableau, QuickSight or Looker.
Experience integrating data from APIs, SaaS applications, and relational databases.
Strong analytical, problem-solving, and communication skills.