Senior Data Analyst
We are looking for a Senior Data Analyst who will be actively involved in the design, development, troubleshooting, debugging, evaluation, support, and enhancement of data engineering solutions. You will leverage existing system architectures to expand the capabilities of these applications, with a strong focus on optimizing data pipelines.
Essential functions
Collaborate closely with cross-functional teams to assess source systems, identify foundational data sources, determine transformation needs, create appropriate data models, and document the design and specifications
Develop systems and datasets by applying software engineering best practices, fundamental data management principles, contemporary distributed systems
Create, maintain, and optimize data pipelines for ingesting, transforming, and loading data from various sources into data storage systems
Identify and resolve performance bottlenecks in data pipelines, databases, and related systems
Demonstrate passion for quality and productivity by use of efficient development techniques, standards and guidelines
Produce technical documentation to support data delivery development
Qualifications
3+ years of experience in a Data Warehouse environment and experience with Data integration/ETL of large and complex data sets
Expertise in performance tuning and scaling of BI systems
Proficiency in SQL and database technologies such as AWS Redshift and expertise in performance tuning and scaling in a DWH environment
Data modeling skills such as Star/Snowflake schema design for DWH
Interpersonal and communication skills
Knowledge of scripting for automation - Python
Effective analytical, troubleshooting and problem-solving skills
Ability to learn fast, work independently with little supervision and deliver on time quality products
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
We offer
- Opportunity to work on cutting-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, vision, dental, etc.
- 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
Thank you!
You applied for the position Senior Data Analyst successfully. We will get back to you soon. Have a great day!
Something went wrong...
There are possible difficulties with connection or other issues. Please try to use another browser (it's recommended to use the latest version of Google Chrome browser). If the problem still persists, please send your application to cv@griddynamics.com
RetrySomething went wrong...
Please double-check the information filled in the form, and make sure to provide valid data.
RetryDon’t see the right opportunity?
Contact us anyway and let’s talk! To apply, send your resume and cover letter to jobs@griddynamics.com
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.