BigData Developer
We are looking for a Data Engineer 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. This candidate will act as a onsite lead of a team of engineers based out of Eastern Europe, and will interact with the client stakeholders. The client must also have communication and leadership skill. This is key to this role as the client will be will working closely with senior leadership and overseeing a team of engineers
Essential functions
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.
Proactive problem solver.
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)
Qualifications
Data Engineer with 7 yrs to 14 years
Databricks, python, pyspark, Snowflake, SQL, Python,
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.
Proactive problem solver.
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)
Would be a plus
databricks, python, pyspark, Snowflake, SQL, Python,
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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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.