Posted:7 hours ago|
Platform:
Work from Office
Full Time
Plan, and execute the end-to-end migration of large-scale datasets and data pipelines from PostgreSQL to Snowflake, ensuring minimal downtime and data integrity.
– Design, build, and optimize robust, scalable, and automated ETL/ELT data pipelines using Python and modern data engineering technologies.
– Guide and mentor other data engineers, fostering a culture of technical excellence, collaboration, and knowledge sharing. Provide code reviews and architectural oversight.
– Take full ownership of data engineering projects from conception through to deployment and ongoing maintenance. Be accountable for the quality, reliability, and timeliness of deliverables.
– Work closely with the team, and business stakeholders to understand their data needs and deliver high-quality data solutions that drive business value.
– Tackle complex data challenges, troubleshoot production issues, and implement performance optimizations within our data warehouse and pipeline infrastructure.
– Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
– 5+ years of relevant professional experience in a data engineering role.
– Proven, hands-on experience leading at least one significant, large-scale data migration from PostgreSQL to Snowflake.
– Expert-level proficiency in Python for data processing and pipeline orchestration (e.g., using libraries like Pandas, SQLAlchemy, and frameworks like Airflow or Dagster).
– Deep expertise in advanced SQL, data modeling, and data warehousing concepts.
– Strong understanding of the Snowflake architecture, features, and best practices.
– Familiarity with cloud services (AWS, GCP, or Azure) and their data-related offerings.
– Excellent problem-solving skills, a meticulous attention to detail, and a proven ability to manage multiple projects with tight deadlines.
– Strong communication and teamwork skills, with a collaborative mindset and a genuine willingness to help others succeed in a fast-paced, innovative environment.
• Ideal candidate is expected to work on-site (Hyderabad or Gurugram location) 12 days per month or 3 days per week.
• Ideal candidate should have strong communication and teamwork skills, with a collaborative spirit and a willingness to help others when needed.
Algoleap Technologies
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