Job
Description
We are looking for a strong Data Engineer with DATA ANALYSIS/PROFILING SKILLS for our Enterprise Data Organization to develop and manage data pipelines (data ingestion, transformation, storage etc.) for an Azure/Snowflake cloud-based data analytics platform. The candidate will possess strong technical, analytical, programming, and critical thinking skills. The ideal candidate will have good experience with data transformation, data modeling, master data management, and metadata management. The candidate must also have excellent communication skills; leadership skills will be a plus. This is key to this role as the candidate will be will working closely with senior leadership, product team and potentially overseeing a team of engineers. Essential functions DATA ANALYSIS/PROFILING SKILLS for our Enterprise Data Organization to develop and manage data pipelines (data ingestion, transformation, storage etc.) for an Azure/Snowflake cloud-based data analytics platform. Qualifications Advanced SQL queries, scripts, stored procedures, materialized views, and views Focus on ELT to load data into database and perform transformations in database Ability to use analytical SQL functions Snowflake experience Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming Experience with DevOps models utilizing a CI/CD tool Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob) Airflow Would be a plus Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships. Strong and effective communication skills (verbal and written). Strong analytical, problem-solving skills. Experience of working in a matrix organization. Ability to prioritize and deliver. Results-oriented, flexible, adaptable. Work well independently and lead a team. Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills. Familiar with Agile practices and methodologies Professional data engineering experience focused on batch and real-time data pipelines using Spark, Python, SQL Data warehouse (data modeling, programming) Experience working with Snowflake Experience working on a cloud environment, preferably, Microsoft Azure Cloud Data Warehouse solutions (Snowflake, Azure DW) We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office
