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Sr Data Engineer
1 month ago
Company Description
Mewar Infotech Limited Canada is an Information Technology and Consulting company specializing in software testing services across various domains. With a focus on Functional testing, Automation testing, Performance testing, and Security testing, we aim to enhance the quality of applications for our global clients. Our expertise lies in Test Automation, Continuous Testing/DevOps, Data Analytics, and AI technologies, ensuring the highest quality standards.
Role Description
This is a contract remote role for a Sr Data Engineer at Mewar Infotech Limited Canada. The Sr Data Engineer will be responsible for tasks like data engineering, data modeling, ETL processes, data warehousing, and data analytics on a day-to-day basis.
Requirements:
- 5+ years of experience in developing scalable Big Data applications or solutions on distributed platforms.
- 4+ years of experience working with distributed technology tools, including Spark, Python, Scala
- Working knowledge of Data warehousing, Data modelling, Governance and Data Architecture
- Proficient in working on Amazon Web Services (AWS) mainly S3, Managed Airflow, EMR/ EC2, IAM etc.
- Experience working in Agile and Scrum development process.
- 3+ years of experience in Amazon Web Services (AWS) mainly S3, Managed Airflow, EMR/ EC2, IAM etc.
- Experience architecting data product in Streaming, Serverless and Microservices Architecture and
- platform.
- 3+ years of experience working with Data platforms, including EMR, Airflow, Databricks (Data Engineering &
- Delta
- Experience with creating/ configuring Jenkins pipeline for smooth Cl/CD process for Managed Spark jobs, build Docker images, etc.
- Working knowledge of Reporting & Analytical tools such as Tableau, Quicksite etc.
Responsibilities:
- Developing scalable Big Data applications or solutions on distributed platforms.
- Proficient in working on Amazon Web Services (AWS) mainly S3, Managed Airflow, EMR/ EC2, IAM etc.
- Able to partner with others in solving complex problems by taking a broad perspective to identify innovative solutions.
- Strong skills building positive relationships across Product and Engineering.
- Able to influence and communicate effectively, both verbally and written, with team members and
- business stakeholders
- Able to quickly pick up new programming languages, technologies, and frameworks.
- Experience working in Agile and Scrum development process.
- Experience working in a fast-paced, results-oriented environment.
- Experience in Amazon Web Services (AWS) mainly S3, Managed Airflow, EMR/ EC2, IAM etc.
- Experience working with Data Warehousing tools, including SQL database, Presto, and Snowflake
- Experience architecting data product in Streaming, Serverless and Microservices Architecture and
- platform.
- Experience working with Data platforms, including EMR, Airflow, Databricks (Data Engineering & Delta
- Lake components, and Lakehouse Medallion architecture), etc.
- Experience with creating/ configuring Jenkins pipeline for smooth CI/CD process for Managed Spark jobs,
- build Docker images, etc.
- Experience working with distributed technology tools, including Spark, Python, Scala
- Working knowledge of Data warehousing, Data modelling, Governance and Data Architecture
- Working knowledge of Reporting & Analytical tools such as Tableau, Quicksite etc.
- Demonstrated experience in learning new technologies and skills.