We are actively seeking a highly skilled and experienced Senior Data Engineer to join our client's team through Acme Services . This pivotal role requires extensive expertise in Big Data and Snowflake , particularly with data migration from on-prem to cloud or from other traditional databases . The ideal candidate will possess a deep understanding of Snowflake's advanced features, including resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, zero-copy clone, and time travel . You will be adept at building Proof of Concepts, analyzing large historical datasets, and optimizing data models for performance. Strong proficiency in RDBMS, complex SQL, PL / SQL, and Python is essential.
Key Responsibilities
- Snowflake & Big Data Migration : Lead and execute data migration from on-premise or traditional databases to Snowflake within a Big Data environment, addressing challenges related to scalability, data storage formats, concurrency requests, and streaming data ingestion .
- Proof of Concept Development : Demonstrate the ability to build quick Proof of Concepts (POCs) as per evolving requirements, validating technical feasibility and business value.
- Data Lake & Data Management : Conduct comprehensive analysis on large amounts of historical data , determining its suitability for Data Lake and Delta Lake setup . This includes expertise in data clean-up, data management, filtering, and efficient loading into Snowflake .
- Data Model Experimentation & Optimization : Conduct experiments with different types of data models , meticulously analyzing performance to identify and implement the most effective approaches.
- Advanced Snowflake Utilization : Leverage expertise in Snowflake advanced concepts by effectively setting up resource monitors, RBAC controls, virtual warehouse sizing, performing query performance tuning, utilizing zero-copy clone, and time travel features .
- Database & Scripting Proficiency : Apply strong proficiency in RDBMS, complex SQL, PL / SQL, and Python for data manipulation, scripting, and pipeline development.
Skills
Must have experience in Big Data and Snowflake .Proven experience with Snowflake data migration (from on-prem to cloud or traditional DBs).Expertise in scalability, data storage formats, concurrency requests, and streaming data ingestion .Ability to build quick Proof of Concepts .Strong analytical skills for large amounts of historical data , including suitability for Data Lake, Delta Lake setup, data clean-up, data management, and filtering .Experience in conducting experiments with different types of data models and analyzing performance.Expertise in Snowflake advanced concepts (resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, zero-copy clone, time travel).Strong Proficiency in RDBMS, complex SQL, PL / SQL, and Python .Qualifications
Proven experience as a Data Engineer with a focus on Big Data and Cloud Data Warehousing, specifically Snowflake.Demonstrable track record of leading data migration projects and optimizing data solutions.Strong problem-solving abilities and a deep understanding of data architecture best practices.Skills Required
snowflake , Big Data, Rdbms, Sql, Pl / sql, Python Programming