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Strong Tier-1 brand, generalist Data Engineer title, and Pune metro increase applicant competition.
Data engineering skills are transferable, though Snowflake and enterprise consulting add moderate domain specificity.
Mandated Snowflake, Python, AWS, data modeling, and production experience make filters strict.
Design and implement scalable Big Data solutions focusing on Snowflake across multi-disciplinary teams.
Ensure data quality, troubleshoot complex data issues, and optimize Snowflake queries and Big Data workflows.
Deliver end-to-end data engineering projects impacting business value through robust data pipelines and performance improvements.
Experience: Relevant experience in a critical Big Data engineering role with high business impact.
Technical skills: Expertise in Snowflake data warehousing, Python for data engineering, SQL, data warehousing concepts, and data modeling.
Educational qualification: Degree in computer science/mathematics/physics or related technical subject is desirable.
Operational knowledge: Experience with cloud platforms (AWS), data pipeline design, and ideally orchestration tools like Terraform, Cloud Formation, dbt for CI/CD and automation.
Strong proficiency in distributed systems, data structures, algorithms, and data engineering concepts including Data Lakes, Warehouses, and Marts.
Analytical skillset demonstrated by ability to debug data pipelines across Snowflake, cloud infrastructure, and data processing.
Able to work independently and collaboratively within fast-paced environments, interfacing effectively with cross-functional data teams.