ApplySarthiSenior/Staff Data Engineer, Analytics and Reporting
OKX
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This role on the market
1,834 open analytics roles across 365 companies are on ApplySarthi right now, most of them in Bengaluru (163), Hyderabad (98), Delhi NCR (62).
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What analytics roles keep asking for: SQL (52%), Python (43%), Tableau (24%), Stakeholder management (22%), Excel (21%), Power BI (19%), Data modelling (17%), AWS (16%) — counted across their open postings here.
Remote Data Engineer jobs · AWS jobs · Data warehousing jobs · Databricks jobs · ETL jobs
OKX has 386 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for analytics roles keep coming back to SQL, Python, Tableau, Stakeholder management. Practise those questions before you sit with OKX.
Questions you are likely to be asked
- Why do you want to join OKX?
- What is your experience with SQL? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
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Practise the Senior/Staff Data Engineer, Analytics and Reporting at OKX interview free →Who We Are
About the team:
The OKX Data Engineering team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services.
Responsibilities:
- Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling (star/snowflake schemas)
- Partner with analytics and business teams to understand requirements and deliver trusted, well-documented datasets
- Design and build resilient and efficient data pipelines for both batch and real-time streaming data
- Architect and design data infrastructure on cloud using industry standard tools
- Ensure data integrity and scalability through enforcement of data standards. Improve data validation and monitoring processes to proactively prevent, identify and resolve issues
- Define, understand, and test external/internal opportunities to improve our products and services
Requirements:
- Bachelor’s Degree in Computer Science and at least 4+ years of experience in Data Engineering with significant focus on Data Marts
- Solid Experience with data processing tools such as Spark and Flink
- Solid Experience implementing batch and streaming data pipelines
- In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting
- Be proficient in SQL, familiar with advanced SQL features such as window functions, aggregate functions and creating scalar functions/user-defined functions
- Proven successful and trackable experience in full end-to-end data solutions involving data ingestion, data persistence, data extraction and data analysis
Preferred Qualifications:
- Experience with Data Analysis platforms like Datawind
- Experience in Big Data tools such as Ali Cloud DataWorks, MaxCompute, AWS DataBricks, Hadoop, Hive, Spark and HBase
Perks & Benefits:
- Competitive total compensation package
- L&D programs and Education subsidy for employees' growth and development
- Various team building programs and company events
- Wellness and meal allowances
- Comprehensive healthcare schemes for employees and dependants
- More that we love to tell you along the process!
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Listed on greenhouse · posted 2026-01-23. ApplySarthi collects openings and links to application pages; the role is advertised by OKX, not by us.