LTIMindtree-posted 2 months ago
Senior
Alpharetta, GA
5,001-10,000 employees
Professional, Scientific, and Technical Services

We are seeking a Senior Specialist with 7 to 11 years of experience skilled in Data Insights Clarity Snowflake for data integration and cloud data warehousing solutions. The role involves designing, developing, and optimizing data pipelines and workflows using Snowflake and AWS Glue. You will collaborate with data engineering and analytics teams to implement scalable cloud data solutions and utilize Snowflake's data warehousing capabilities to support large-scale data storage and querying. Additionally, you will implement ETL/ELT processes leveraging AWS Glue to integrate data from diverse sources, ensuring data quality, security, and governance standards are maintained throughout the data lifecycle. You will also analyze business requirements and translate them into technical solutions within the Snowflake environment, stay updated on the latest cloud data technologies and best practices related to Snowflake and AWS Glue, and troubleshoot and resolve performance issues related to data pipelines and cloud infrastructure.

  • Lead the design and implementation of Snowflake-based data warehousing solutions
  • Develop and maintain ETL workflows using AWS Glue to support business intelligence and analytics needs
  • Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet organizational goals
  • Monitor and optimize data pipeline performance and cost efficiency
  • Mentor junior team members on Snowflake and AWS Glue best practices and technical skills
  • Conduct code reviews and ensure adherence to coding standards and data governance policies
  • Participate in architectural discussions to enhance data platform capabilities
  • Provide technical guidance on cloud data integration strategies and troubleshoot complex data issues
  • 7 to 11 years of experience in data engineering
  • Proficiency in Snowflake and AWS Glue
  • Experience with data integration and cloud data warehousing solutions
  • Strong knowledge of ETL/ELT processes
  • Familiarity with data quality, security, and governance standards
  • Ability to analyze business requirements and translate them into technical solutions
  • Experience with Apache Spark, Java, Python, AWS EMR, AWS Lambda, AWS S3, Scala, ANSI-SQL, and AWS Step Functions
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