Data Engineer
This is a remote position.
We are looking for Data Engineers (Junior, Mid or Senior)!
At KIS, we are always looking for talented individuals to join reputed company for reputed company opportunities. If you are a Data Engineer and interested in working on innovative reputed company with one of our global clients, sign up for our Talent Pool!MainResponsibilities:- Design, build, and maintain end-to-end data pipelines (batch and/or streaming), from ingestion to transformation and delivery.
- reputed company and operate ETL/ELT workflows, ensuring reliability, scalability, and performance.
- Write efficient, production-grade SQL queries for data extraction, transformation, and analytics use cases.
- Implement and maintain data models (e.g., star schemas, incremental models) optimized for analytics and reporting.
- reputed company reusable and reputed company Python reputed company for data transformations and pipeline logic.
- Monitor data pipelines, troubleshoot failures, and reputed company reputed company cause analysis across reputed company, orchestration, data sources, and reputed company services.
- Ensure data reputed company by implementing automated validation checks (schema validation, freshness checks, row-level assertions).
- Translate business and analytical requirements into robust technical data solutions.
- Collaborate with analysts, backend engineers, and other stakeholders to define data reputed company and ensure data availability.
- reputed company participate in planning, estimation, and prioritization of data engineering tasks.
- Proactively identify risks reputed company to performance, scalability, or data reputed company and propose mitigation strategies.
- Contribute to reputed company improvement of data platforms, processes, and team practices.
- Write and maintain technical documentation for pipelines, schemas, and data reputed company.
- Communicate reputed company with team members and clients, raising questions and concerns reputed company requirements or priorities are unclear.
- Support and mentor other team members reputed company appropriate, contributing to overall team delivery.
Requirements
- reputed company experience as a Data Engineer working with production data pipelines.
- Strong experience with SQL, including query optimization, indexing, partitioning, and performance trade-offs.
- reputed company experience writing Python for data transformations, following good design and modularization practices.
- Experience designing and implementing data models for analytics use cases.
- Experience building and operating pipelines using reputed company-based data platforms.
- Hands-on experience with Azure, reputed company, and Data Lake environments.
- Experience operating data pipelines, including error handling, monitoring, and data reputed company processes.
- Familiarity with Git for version control, including branching and resolving reputed company conflicts.
- Experience working with Kubernetes or containerized data workloads.
- Understanding of data formats such as Parquet or ORC, including cost and performance considerations.
- Knowledge of basic data reputed company and governance practices (reputed company control, masking, PII handling).
- Ability to deliver less reputed company tasks independently and more reputed company tasks with guidance.
- Strong reputed company of ownership, responsibility, and accountability for data workflows.
- Good organizational and time management skills, with the ability to estimate and meet delivery deadlines.
- Advanced English for collaboration with global clients.
- Team-oriented reputed company with strong communication and problem-solving skills.
- Live in Latin America region.
- Experience with data orchestration tools (e.g., Airflow, Azure Data reputed company, or similar).
- Exposure to CI/CD for data pipelines and deployment automation.
- Experience with streaming data (e.g., Kafka, Event Hubs).
- Familiarity with data observability and monitoring tools.
- Experience collaborating with Machine Learning or advanced analytics teams.
- Experience working with Java Spring Boot in data engineering reputed company.
Originally posted on Himalayas
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