01Responsibilities
Own and enhance our existing data infrastructure, with a focus on performance, scalability, and data integrity across high-volume pipelinesWork directly with clients on data integration, validation, and ongoing monitoring requirementsOversee data ingestion, structure, and usability across our analytics and fundingworkflowsBuild alerting systems for data integrity and performance thresholdsCollaborate with product and analytics teams to support insight delivery and self-serve toolingSkills and Expertise:6 years of experience in data engineering or analytics engineering, with a strong foundation in data architecture and cloud-based systemsDeep expertise in Pyspark, SQL, Python, and modern data tooling (Airflow, dbt, Spark, Superset etc.)Proven experience improving and scaling ETL pipelines on platforms like GCP or AWSStrong communication skills and comfort working directly with clients and internal stakeholdersPrior experience in gaming, consumer app, or fintech companies is a plusEngagement Type:Job Type: Permanent/Full-timeLocation:100% RemoteWorking time: 10:00 AM to 7:00 PMInterview Process - 4-5 Interview roundsHow to apply for this opportunityStep 1: Click On Apply! And Register or Login on our portal.Step 2: Complete the Screening Form & Upload updated ResumeStep 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, dont hesitate to apply today. We are waiting for you! .
