Ethos Life Hiring Drive 2024: Ethos Life Hiring Drive 2024 for its Data Analyst Engineer. Ethos Life Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Graduate. if you are interested, please apply as soon as possible.
Company Name: Ethos Life
Role: Data Analyst Engineer
Location: Bengaluru
Experience: 0 – 3 years
Qualification: Graduate
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Ethos Life Hiring Drive 2024
Job Description:
- Ethos is seeking a Data Analyst Engineer to join our Data Platform team and help drive data operations Sales, Marketing, and Product teams.
- As a Data Analytics Engineer, you will play a critical role in transforming raw data into actionable insights that drive business growth.
- If you have a passion for data analysis, development, and are proficient in SQL, DBT & Data Modeling we encourage you to apply
Requirements:
- Expert level proficiency in SQL development, set theory and relational algebra
- Expert level proficiency in data modeling techniques and principles
- Experience with DBT & a large scale data warehouse like Snowflake
- Familiarity with a programming language is a plus
Responsibility:
- Build and maintain data marts to support various business functions
- Collaborate with stakeholders to understand product and application behavior to arrive at the appropriate data model
- Optimize queries, and refine data structures to ensure efficient data retrieval and reporting
- Research and implement best practices for cost optimization in the data warehouse
- Ensure data accuracy, consistency, and integrity by implementing data validation and data cleansing processes.
- Perform data quality checks and troubleshoot any issues
- Create interactive dashboards and reports to communicate data findings effectively to stakeholders.
- Utilize data visualization tools to present actionable insights
- Continuously monitor data model jobs for regressions and optimize queries to maintain performance SLAs and improve efficiency and scalability.
- Identify and resolve performance bottlenecks
- Maintain detailed documentation of data models for reference and knowledge sharing
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