Staff Data Engineer

3.0 years

50.0 - 60.0 Lacs P.A.

Nagpur, Maharashtra, India

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

datacomplianceawspythonsqletldatabasestackcodemetricsyamlmarketingscalabilityanalyticsreportingengineeringdesignsupportorchestrationefficiencyprototypeazureportalengagement

Work Mode

Remote

Job Type

Full Time

Job Description

Experience : 3.00 + years Salary : INR 5000000-6000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Rill Data) (*Note: This is a requirement for one of Uplers' client - Rill Data) What do you need for this opportunity? Must have skills required: DBT, Iceberg, Kestra, Parquet, SQLGlot, ClickHouse, DuckDB, AWS, Python, SQL Rill Data is Looking for: Rill is the world’s fastest BI tool, designed from the ground up for real-time databases like DuckDB and ClickHouse. Our platform combines last-mile ETL, an in-memory database, and interactive dashboards into a full-stack solution that’s easy to deploy and manage. With a BI-as-code approach, Rill empowers developers to define and collaborate on metrics using SQL and YAML. Trusted by leading companies in e-commerce, digital marketing, and financial services, Rill provides the speed and scalability needed for operational analytics and partner-facing reporting. Job Summary Overview Rill is looking for a Staff Data Engineer to join our Field Engineering team. In this role, you will work closely with enterprise customers to design and optimize high-performance data pipelines powered by DuckDB and ClickHouse. You will also collaborate with our platform engineering team to evolve our incremental ingestion architectures and support proof-of-concept sales engagements. The ideal candidate has strong SQL fluency, experience with orchestration frameworks (e.g., Kestra, dbt, SQLGlot), familiarity with data lake table formats (e.g., Iceberg, Parquet), and an understanding of cloud databases (e.g., Snowflake, BigQuery). Most importantly, you should have a passion for solving real-world data engineering challenges at scale. Key Responsibilities Collaborate with enterprise customers to optimize data models for performance and cost efficiency. Work with the platform engineering team to enhance and refine our incremental ingestion architectures. Partner with account executives and solution architects to rapidly prototype solutions for proof-of-concept sales engagements. Qualifications (required) Fluency in SQL and competency in Python. Bachelor’s degree in a STEM discipline or equivalent industry experience. 3+ years of experience in a data engineering or related role. Familiarity with major cloud environments (AWS, Google Cloud, Azure) Benefits Competitive salary Health insurance Flexible vacation policy How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Digital Services
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