We are seeking a skilled Data Engineer to design build and maintain scalable data platforms that support business intelligence analytics and data-driven this role you will collaborate closely with business and technical stakeholders to develop reliable data pipelines and modern data architectures.
Key Responsibilities
- Design develop and maintain data pipelines and data architectures
- Implement and optimize ETL/ELT processes to support analytics and BI initiatives
- Collaborate with stakeholders to understand and translate data requirements
- Ensure data quality performance and reliability across platforms
- Support cloud-based data solutions in an Agile/Scrum environment
Qualifications :
- 5 years of experience in data engineering BI or IT roles
- Advanced proficiency in SQL.
- Strong experience with ETL tools; DBT experience is mandatory.
- 3 years of experience with cloud platforms (AWS and/or Azure)
- 3 years of experience with Apache Airflow.
- Hands-on experience with Spark-based technologies (Spark Glue EMR)
- Experience in scalable Python development (PySpark Spark SQL)
- Experience with relational or columnar databases (Oracle SQL Server Redshift)
- Experience with BI tools such as Tableau Qlik or OBIEE
- Strong communication skills with English proficiency
- Ability to work effectively in multicultural and cross-functional teams
- Organized detail-oriented and proactive problem solver
- Willingness to learn and adapt to new technologies
Additional Information :
Nice to Have
- Data Warehousing or BI certifications
- Experience in knowledge sharing or mentoring
Remote Work :
No
Employment Type :
Full-time
We are seeking a skilled Data Engineer to design build and maintain scalable data platforms that support business intelligence analytics and data-driven this role you will collaborate closely with business and technical stakeholders to develop reliable data pipelines and modern data architectures.K...
We are seeking a skilled Data Engineer to design build and maintain scalable data platforms that support business intelligence analytics and data-driven this role you will collaborate closely with business and technical stakeholders to develop reliable data pipelines and modern data architectures.
Key Responsibilities
- Design develop and maintain data pipelines and data architectures
- Implement and optimize ETL/ELT processes to support analytics and BI initiatives
- Collaborate with stakeholders to understand and translate data requirements
- Ensure data quality performance and reliability across platforms
- Support cloud-based data solutions in an Agile/Scrum environment
Qualifications :
- 5 years of experience in data engineering BI or IT roles
- Advanced proficiency in SQL.
- Strong experience with ETL tools; DBT experience is mandatory.
- 3 years of experience with cloud platforms (AWS and/or Azure)
- 3 years of experience with Apache Airflow.
- Hands-on experience with Spark-based technologies (Spark Glue EMR)
- Experience in scalable Python development (PySpark Spark SQL)
- Experience with relational or columnar databases (Oracle SQL Server Redshift)
- Experience with BI tools such as Tableau Qlik or OBIEE
- Strong communication skills with English proficiency
- Ability to work effectively in multicultural and cross-functional teams
- Organized detail-oriented and proactive problem solver
- Willingness to learn and adapt to new technologies
Additional Information :
Nice to Have
- Data Warehousing or BI certifications
- Experience in knowledge sharing or mentoring
Remote Work :
No
Employment Type :
Full-time
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