Data Engineer with Advanced SQL Proficiency
3 days ago
We are seeking an experienced Data Engineer to join our team at Kellton. The successful candidate will play a crucial role in designing, building, and maintaining efficient data pipelines.
Key Responsibilities:- Data Pipeline Development: Design and implement scalable data pipelines using Python, SQL, and other ETL technologies to ensure seamless integration of data from diverse sources.
- SQL Data Modelling: Develop and optimize complex SQL queries, views, and stored procedures to guarantee efficient data retrieval and transformation.
- Data Integration: Integrate data from various sources into the data warehouse or data lake using Python and SQL.
- Data Warehousing: Collaborate in the design and management of data warehouse solutions to ensure efficient data storage and retrieval.
- Data Quality & Governance: Monitor data quality, implement data validation checks, and ensure data governance standards are met.
- Collaboration: Work closely with Data Scientists, Analysts, and stakeholders to understand data needs and provide timely access to clean, reliable data.
- Technical Expertise:
- Strong proficiency in Python for data processing, ETL, and automation tasks.
- Advanced SQL skills, including query optimization, data modeling, and working with relational databases.
- Experience with ETL tools and frameworks such as Apache Airflow or custom Python scripts.
- Familiarity with data warehousing concepts and experience working with APIs and integrating data from external sources.
Kellton is a global IT services and digital product design and development company. We value our employees and strive to create a culture of collaboration, innovation, and continuous learning.
Benefits:The successful candidate will enjoy a competitive salary range of $110,000 - $140,000 per annum, depending on experience. Our comprehensive benefits package includes health insurance, retirement plans, and paid time off.
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india Data Warehouse Engineer Full timeExperience : 2- 5 YearsPrimary Skills : Strong SQL knowledge, Data warehouse concepts and ETL hands on experience, Azure services like Data Factory, Azure Data Lake, and Good analysis skills.Good to have skills: Power BI, Databricks, Python.
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