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Talent Worx

10 months ago

Data Engineer : SQL, Snowflake, Python

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Company information

Company
Talent Worx
Location
India India
Posted
10 months ago
View all jobs at Talent Worx

Job description

Talent Worx is seeking an experienced Data Engineer with expertise in SQL, Snowflake, and Python to enhance our data processing capabilities. In this role, you will be responsible for building and optimizing data pipelines, ensuring data quality, and supporting analytics initiatives. The ideal candidate will possess a strong technical background and a passion for transforming data into actionable insights. Experience: 5 to 8 years Location: Any where in india Requirements Key Responsibilities: * Design, develop, and maintain data pipelines using SQL, Python, and other relevant technologies. * Implement ETL processes to extract, transform, and load data from various sources into Snowflake. * Optimize data warehouse performance and ensure data integrity. * Collaborate with data analysts and business stakeholders to understand data requirements and deliver solutions. * Develop and maintain data documentation, including data dictionaries and pipeline specifications. * Monitor data pipelines and troubleshoot issues as needed. * Ensure data security and compliance with relevant regulations. * Stay up-to-date with the latest data engineering trends and technologies. Qualifications: * Bachelor's degree in Computer Science, Data Science, or a related field. * 5-8 years of experience as a Data Engineer. * Strong proficiency in SQL and experience with database design and optimization. * Experience with Snowflake data warehousing. * Proficiency in Python and experience with data manipulation libraries (e.g., Pandas, NumPy). * Experience with ETL tools and processes. * Experience with data pipeline orchestration tools (e.g., Airflow, AWS Glue). * Experience with cloud platforms (e.g., AWS, Azure, GCP). * Excellent problem-solving, analytical, and communication skills. Benefits: * Competitive salary * Health insurance * Paid time off * Professional development opportunities

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