Senior Data Engineer

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
  
  

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.