dataeaze systems
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Amazon Web Services (AWS)
PythonPOST - SENIOR DATA ENGINEER WITH AWS
Experience : 5 years
Must-have:
• Highly skilled in Python and PySpark
• Have expertise in writing Glue jobs ETL script, AWS
• Experience in working with Kafka
• Extensive SQL DB experience – Postgres
Good-to-have:
• Experience in working with data analytics and modelling
• Hands on Experience of PowerBI visualization tool
• Knowledge and hands-on on version control system - Git Common:
• Excellent communication and presentation skills (written and verbal) to all levels
of an organization
• Should be results oriented with ability to prioritize and drive multiple initiatives to
complete work you're doing on time
• Proven ability to influence a diverse geographically dispersed group of
individuals to facilitate, moderate, and influence productive design and implementation
discussions driving towards results
Shifts - Flexible ( might have to work as per US Shift timings for meetings ).
Employment Type - Any
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java- Core Java: advanced level competency, should have worked on projects with core Java development.
- Linux shell : advanced level competency, work experience with Linux shell scripting, knowledge and experience to use important shell commands
- Rdbms, SQL: advanced level competency, Should have expertise in SQL query language syntax, should be well versed with aggregations, joins of SQL query language.
- Data structures and problem solving: should have ability to use appropriate data structure.
- AWS cloud : Good to have experience with aws serverless toolset along with aws infra
- Data Engineering ecosystem : Good to have experience and knowledge of data engineering, ETL, data warehouse (any toolset)
- Hadoop, HDFS, YARN : Should have introduction to internal working of these toolsets
- HIVE, MapReduce, Spark: Good to have experience developing transformations using hive queries, MapReduce job implementation and Spark Job Implementation. Spark implementation in Scala will be plus point.
- Airflow, Oozie, Sqoop, Zookeeper, Kafka: Good to have knowledge about purpose and working of these technology toolsets. Working experience will be a plus point here.
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We are a team of Databricks Certified Data Engineers dedicated to empowering businesses in the data-driven world. Our expertise spans designing automated workflows, scalable architectures, optimized data pipelines, performance-tuned Databricks environments, and Agentic AI solutions. We help organizations reduce manual effort, optimize costs, and unlock faster, more reliable insights. Across every engagement, we ensure secure data transfers, strong data integrity, and robust validation processes—so companies can fully trust their data operations.
In addition to delivering enterprise-grade data and AI solutions, we operate as an Employer of Record (EOR), enabling foreign companies to seamlessly hire top Indian talent without the complexity of local payroll, compliance, or statutory requirements. We manage employment, payroll, taxation, and regulatory compliance end-to-end, while ensuring hired professionals work exclusively for our client organizations.
With a dual focus on enterprise transformation and global talent enablement, we help companies scale their data capabilities faster while building reliable, compliant, and future-ready teams in India.
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Datasee.AI was started to serve one purpose – make the power of big data and artificial intelligence easily accessible for every business at every stage of their operational cycle. With our image analytics platform, businesses can digitize their assets with a simple pane for all teams, avoid operational and organizational silos, mitigate risks, and increase profitability. While predominantly used by players in the renewable energy and farming sectors, our team is working to expand our capabilities across multiple industries. At Datasee.AI, we use cutting-edge technology to minimize human errors.
KEY POINTERS
1. Our average age of employees is 24!
2. One of the very few multi-disciplinary engineering companies in India with global operations (six countries & counting)
3. Multi-Disciplinary Engineering is our Forte - Engineers from Mechanical, Environmental, Geo-Informatics, Computer Science, Energy Engineering, Aerospace Engg, Product Design, Electrical Engg & even Irrigation Management
4. Focused on building products for clean energy management & monitoring
Join us to learn and grow together!
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We build AI-powered applications to automate business processes and operations. We are a DPIIT-recognized startup and also an NVIDIA Inception startup partner.
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