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.Apply to the position
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Grid Dynamics is an equal opportunity employer. We are committed to creating an inclusive environment for all employees during their employment and for all candidates during the application process.
All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. All employment is decided on the basis of qualifications, merit, and business need.