Databricks Engineer
Role details
Job location
Tech stack
Job description
In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below:
? Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
? Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
? Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
? Conduct code reviews, do changes to the codebase and maintain code repositories
? Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
? Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
? Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
? Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Requirements
? A collaborative spirit and excellent communication skills.
? The ability to handle end to end SDLC phases from requirement gathering to implementation.
? A knack for translating complex requirements into actionable development tasks.
? A passion for design and hands-on coding experience
? A proactive approach to testing, troubleshooting, and refining our applications.
? The ability to work with cross-functional teams and do software integration.
Required Skill and Experience
Experience in end-to-end implementation of projects in AWS, Databricks, PySpark/ Scala-Spark, SQL.
Strong knowledge and hands-on experience in SQL.
Hands-on experience in Design and development of Ingestion pipeline, ETL pipeline and jobs in Databricks. Experience in Databricks workspace and cluster configuration and Job scheduling and workflow management
Preferred Skill and Experience
Knowledge of software engineering design patterns and practices
Knowledge Data structures, Data Engineering concepts, Algorithms, Collections, Multi-threading and memory management and concurrency
Experience in large scale cloud data migrations using Databricks, Snowflake, Python, Spark, Scala and SQL.
Experience in Design and development of Ingestion pipeline, ETL pipeline and jobs in Databricks. Databricks workspace and cluster configuration and Job scheduling and workflow management
Experience in handling large datasets and performance optimization techniques in data ingestion and data retrieval in databricks platform.
Exposure in Power BI
Understanding of Agile software development frameworks
Experience in Banking/Financial domain
Good to have experience in Snowflake
Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology team
Benefits & conditions
Along with competitive pay, as a full-time employee you are also eligible for the following benefits:
- Medical/Dental/Vision/Life Insurance
- Long-term/Short-term Disability
- Health and Dependent Care Reimbursement Accounts
- Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
- 401(k) plan and contributions dependent on salary level
- Paid holidays plus Paid Time Off