Job Description

EDUCATION AND EXPERIENCE Bachelors degree in computer science, mathematics, or statistics 12+ Years of of Data and Analytics experience with minimum 5+ years in Snowflake Cloud Data warehousing. 10+ years of experience in the IT with strong focus on Data engineering,Data Architecture 5+ years of relevant experience in successfully launching, planning, and executing Advanced Analytics projects. 5+ years of experience in managing or leading data engineering teams 5+ years of hands-on experience building Cloud Data centric solutions preferably on Azure cloud platform or any other Hyper-scalers. Strong programming skills in SQL, Python, and Python-based data manipulation and visualization libraries. Familiarity with big data frameworks, such as Spark, and ML libraries Extensive experience in Snowflake - Virtual warehouse (Compute), Data modeling & storage, data loading/unloading and data sharing, SnowSQL (CLI) as well as Snowflake Internals and integrations, SnowPipe implementation, Snowflake security including readers and consumers accounts. Advance SQL knowledge and hands on experience on complex queries writing using with Analytical functions, Troubleshooting, problem solving and performance tuning of SQL queries accessing data warehouse as well as Strong knowledge on stored procedures Design and build production data pipelines from ingestion to consumption with Python, Pyspark or Scala. Good knowledge on orchestration/scheduler tools, like Airflow Strong understanding of cloud architecture and environment Familiar with common techniques and general ML programming to ensure quality of algorithms before pushing them to production Experience with BI and Reporting Tools Experience with Data Integration tools like Spark/Databricks Experience in Linux/Unix shell scripting Good experience in Requirements Analysis and Solution Architecture Design, Data modelling, ETL, data integration and data migration design Well versed with Waterfall, Agile, Scrum and similar project delivery methodologies. Experienced in internal as well as external stakeholder management Understanding of cloud data migration processes and ability to design alternatives for data ingestion from variety of sources into various databases Build robust and scalable data integration (ETL) pipelines Build and deliver high quality datasets to support business analyst and customer reporting needs Interface with business customers, gathering requirements and delivering end to end solutions Problem-solving, communication, and collaboration skills. Excellent data analytical and communication skills. Ability to work in a fast-paced, high-pressure, agile environment. Strong interpersonal, communication, and presentation skills. Ability to learn and teach new languages and frameworks PHYSICAL REQUIREMENTS / WORK ENVIRONMENT (if applicable) Work is performed in a designated professional office workstation and environment. Extensive use of office equipment to include computer, calculator, copier, fax, and other business related machines and software. 80% Hands on role on the developments in Python, Snowflake and Solution design and 20% mentoring the team