Data Engineer

InfyStrat is looking for a proficient Data Engineer to strengthen our data team. In this role, you will be integral in designing and implementing data pipelines that facilitate the efficient extraction, transformation, and loading (ETL) of data across various platforms. You will collaborate with data analysts, scientists, and business units to provide reliable and accurate datasets to drive decision-making processes. The ideal candidate should possess a combination of technical proficiency and creativity to solve complex data challenges. We foster a culture of innovation at InfyStrat, where the contributions of our team members are essential to transforming our data into valuable insights. Join us to help build data solutions that empower our business growth.

Key Responsibilities

• Design, implement, and manage ETL processes to collect and transform data from diverse sources.
• Develop and maintain data models, ensuring they meet business needs and performance requirements.
• Optimize database performance and troubleshoot data-related issues.
• Collaborate with stakeholders to identify data needs and develop solutions accordingly.
• Implement data quality monitoring and validation to maintain data integrity.
• Keep up with industry trends and emerging technologies to continually enhance data engineering practices.

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 5-12 years of experience in data engineering or a related role.
• Strong Knowledge in Snowflake + Metallion.
• Strong proficiency in SQL and experience with relational databases.
• Experience with data integration and ETL tools (such as Talend, Apache NiFi, or similar).
• Familiarity with big data frameworks (like Hadoop, Spark) and cloud computing platforms (AWS, Azure).
• Proficient in programming languages for data processing (Python, Scala, or Java).
• Problem-solving skills with a keen attention to detail.
• Ability to work independently and collaborate effectively within teams.