Data Engineer - GTE (Remote)
Tamil Nadu, Chennai, India
Getinz
Getinz is a leading executive search, product recruitment, contract staffing firm, dedicated to helping companies find top talent that drives growth and innovation. Our personalized approach and industry expertise make us the ideal partner for...
We are hiring for our leading media client.
Skills and Qualifications:
- Snowflake: Proficiency in Snowflake for data warehousing and management.
- Python: Strong scripting and programming skills in Python.
- SQL: Expertise in writing optimized queries and managing relational databases.
- Cloud Platforms: Experience with any major cloud provider (AWS, Azure, or GCP).
Key Responsibilities:
- Build, maintain, and optimize data pipelines for scalability and performance.
- Design and implement data models and storage solutions using Snowflake.
- Ensure high data quality through effective ETL/ELT workflows and validation processes.
- Collaborate with business and technical teams to understand and meet data requirements.
- Monitor and troubleshoot data systems to ensure reliability and efficiency.
Requirements:
- Bachelor’s degree in Computer Science, IT, or a related field.
- 1–3 years of experience in data engineering roles.
- Hands-on expertise with Snowflake, Python, SQL, and cloud platforms.
- Problem-solving mindset with a keen eye for detail.
Preferred Skills:
- Certifications in relevant technologies (Snowflake, Python, or cloud platforms).
- Experience with big data tools like Spark or Hadoop.
- Understanding of data integration and advanced analytics.
Why Join Us?
- Work on impactful projects using the latest technologies.
- Competitive compensation aligned with your expertise.
- A collaborative and growth-oriented work environment.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: AWS Azure Big Data Computer Science Data pipelines Data quality Data Warehousing ELT Engineering ETL GCP Hadoop Pipelines Python RDBMS Snowflake Spark SQL
Perks/benefits: Competitive pay
Regions:
Remote/Anywhere
Asia/Pacific
Country:
India
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