Uplers
Website:
uplers.com
Job details:
Experience: 13.00 + years
Salary: INR 7000000-9000000 / year (based on experience)
Expected Notice Period: 15 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Hybrid ()
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: AI-powered account intelligence platform enabling partner ecosystems to prioritize accounts and drive scalable pipeline growth)
(*Note: This is a requirement for one of Uplers' client - AI-powered account intelligence platform enabling partner ecosystems to prioritize accounts and drive scalable pipeline growth)
What do you need for this opportunity?
Must have skills required:
Spark, AWS, Azure, Kafka, Python, SQL
AI-powered account intelligence platform enabling partner ecosystems to prioritize accounts and drive scalable pipeline growth is Looking for:
Function: Software Engineering → Big Data / DWH / ETL
- Data Analysis
- Data Streaming
- Data Warehousing
- ETL
- +6 more
- Amazon Redshift
- BigQuery
- Hadoop
- Kafka
- Spark
- SQL
Responsibilities:
- Lead the architecture and design of scalable data platforms and large-scale distributed data processing systems.
- Build and evolve robust data pipelines for ingestion, processing, enrichment, and transformation of structured and unstructured datasets.
- Design and implement high-performance data models that support machine learning pipelines, analytics, and customer-facing applications.
- Establish and drive best practices for data quality, observability, governance, and reliability across the data platform.
- Partner closely with data science teams to support feature engineering, model training pipelines, and production ML systems.
- Evaluate and introduce modern data platform technologies to improve scalability, performance, and developer productivity.
- Drive adoption of LLMs and AI-powered tooling to improve data engineering productivity and apply AI-driven approaches for data discovery, pipeline automation, metadata enrichment, and data quality.
- Mentor engineers and provide technical leadership across the data platform team.
Requirements:
- Bachelor''''s degree or higher in Computer Science, Engineering or related field with 13+ years of experience in data engineering with a strong focus on designing and building scalable data platforms and products.
- Deep expertise in data modelling, distributed data processing, and large-scale ETL/ELT systems to build data lakes, data warehouses and modern lakehouse architectures.
- Strong experience with distributed data technologies (Spark, Kafka, Hadoop, or similar frameworks) and programming expertise in Python and SQL.
- Experience with cloud, such as AWS, Azure or GCP and related services (S3 Redshift, BigQuery, Dataflow).
- Proven expertise in data quality checks to ensure data accuracy, completeness, consistency, and timeliness.
- Hands-on experience using LLMs, AI-assisted development tools, or AI-driven workflows to improve engineering productivity and automate development processes.
- Excellent problem-solving in a fast-paced, collaborative environment, coupled with strong communication for effective interaction with tech and non-tech stakeholders.
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!
Click on Apply to know more.