Senior Snowflake Developer

2 weeks ago

Hyderabad, India Tata Consultancy Services Full time

Role : Senior Snowflake Developer Required Technical Skill Set : - Strong proficiency in SQL for Snowflake. - Hands-on experience with Excel data handling (e.g., VBA, macros, or scripting to clean and transform Excel data). - Expertise in ETL/ELT processes and tools (e.g., Talend, Informatica, Matillion, or dbt). - Knowledge of scripting languages like Python for data extraction and automation. - Familiarity with cloud platforms (AWS, Azure, or GCP) and their integration with Snowflake. - Performance Tuning: Ability to optimize queries and improve Snowflake performance for large datasets. Experience : 6 to 8 years Location : Pan India Job Description : Desired Competencies (Technical/Behavioral Competency) Must-Have:- - Experience in migrating data from Excel or other structured file sources to Snowflake. - Strong analytical skills to assess data quality and ensure accuracy during migration. - Ability to automate recurring workflows and streamline data ingestion processes. - Excellent problem-solving skills with a focus on debugging and resolving migration challenges. - Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Good-to-Have - Snowflake certifications such as SnowPro Core or Advanced Architect. - Knowledge of data governance and compliance frameworks (e.g., GDPR, HIPAA). - Familiarity with real-time data pipelines and streaming tools such as Apache Kafka or Spark. - Prior experience in large-scale data migrations and cloud-based data warehouse implementations. Responsibility of / Expectations from the Role :- - Design and implement scalable ETL/ELT pipelines to migrate data from Excel sources to Snowflake. - Analyze and understand Excel data structures, transforming them into Snowflake-compatible formats. - Optimize Snowflake performance by implementing best practices such as clustering and partitioning. - Collaborate with business and technical teams to define migration requirements and strategies. - Automate data workflows using tools like Python, dbt, or Airflow for seamless migration processes. - Ensure data accuracy, quality, and integrity throughout the migration lifecycle. - Implement data security measures and ensure compliance with organizational and industry standards. - Stay updated with Snowflake's latest features and industry trends to propose continuous improvements.

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