Senior Data Analyst
1 month ago
About the Company:
We are an US based IT Company. We focus on partnering with product companies to help them develop their technology products and bring them to the market. We have established state-of-the-art software development center in Baroda.
About the Role:
As a Data Engineer, you will be a vital part of our data engineering team, responsible for assisting in the development and maintenance of data infrastructure, pipelines, and workflows. You will work closely with experienced data engineers to ensure that data is collected, processed, and stored efficiently, enabling data-driven decision-making across the organization.
Essential Functions include, but are not limited to the following.
You will be expected to:
- Your primary focus will be to ensure projects are developed in accordance with established engineering processes, adhering to scope, schedule constraints and agile project plans
- Contribute to all phases in the software lifecycle – requirements analysis, solution design, development, and deployment
- Define and maintain high quality standards for the work undertaken and be responsible for the quality of your own and your team’s deliverables
- Communicate and work with cross functional teams
- Work closely with Product Managers to create the product & technology roadmap
- Mentor the less experienced team members and help onboard new team members
- Work closely with the management team to implement software engineering practices and uphold standards
- Suggest appropriate technologies and platforms to use to deliver customer requirements
- Work effectively as part of a distributed team
- Participate in code reviews
Requirements:
Key technical expertise areas expected for this role:
- Strong programming skills in Python with clear understanding of Object-Oriented principles
- Great numerical and analytical skills
- Excellent communication skills, to work closely with peers and leaders throughout the organization
- Advanced SQL knowledge
- Database and table schema design
- Experience with databases, ETL, data warehouse development, and maintenance
- fundamental ETL concepts
- data warehouse design
- data ingestion, cleaning and integration
- data synchronization (incremental, historical, and backfill)
- orchestration
- observability
- Demonstrable ability to learn new programming languages and frameworks quickly
- Basic knowledge of modern software development best practices
- Basic data visualization knowledge
- Basic Bash scripting knowledge
Additional areas that would add value:
- Experience with Python data libraries like Pandas and scikit-learn
- Experience with Tableau or similar visualization tools
- Time series analysis
- Experience with data pipeline orchestrators like Airflow, Dagster, Prefect, etc.
- Basic Linux administration knowledge
- Basic Docker knowledge
- Advanced technical knowledge in Software Engineering, using more than one of the following programming languages: Python, Java, Node.JS
- Previous experience building and maintaining Data Lakes
- Experience with modern cloud technologies such as AWS/Azure/GCP
- Experience working in Agile Scrum/Kanban methodologies
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