Senior Data Engineer
Senior Data Engineer
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Job Description
Job Summary:
We are seeking a highly skilled Senior Data Engineer with expertise in data engineering data pipelines and cloudbased technologies. The ideal candidate will be responsible for designing developing and maintaining scalable and efficient data infrastructure to support datadriven decisionmaking across the organization. This role requires a deep understanding of data architecture strong problemsolving skills and the ability to collaborate with crossfunctional teams to deliver highquality data solutions. Experience with tools like Apache Spark Hadoop SQL and cloud platforms such as AWS Azure or Google Cloud is essential.
About Us:
This position is being recruited by Smartwork IT Services a leading recruitment and productbased company. In addition to staffing solutions Smartwork IT Services is involved in developing cuttingedge products like SWITS ATS (Applicant Tracking System) and SWITS HRMS (Human Resource Management Services). We focus on delivering exceptional value through innovative solutions and toptier talent acquisition.
Key Responsibilities:
- Experienced Data management specialist responsible for developing overseeing organizing storing and analyzing data and data systems
- Participate in all aspects of the software development lifecycle for Snowflake solutions including planning requirements development testing and quality assurance
- Work in tandem with our engineering team to identify and implement the most optimal solutions
- Ensure platform performance uptime and scale maintaining high standards for code quality and thoughtful design
- Troubleshoot incidents identify root causes fix and document problems and implement preventive measures
- Able to manage deliverables in fast paced environments Areas of Expertise
- At least 58 years of experience designing and development of data solutions in enterprise environment
- At least 2 years experience on Snowflake Platform
- Strong hands on SQL and Python development
- Experience with designing and development data warehouses in Snowflake
- A minimum of three years experience in developing productionready data ingestion and processing pipelines using Spark Scala
- Strong handson experience with Orchestration Tools e.g. Airflow Informatica Automic
- Good understanding on Metadata and data lineage
- Hands on knowledge on SQL Analytical functions
- Strong knowledge and handson experience in Shell scripting Java Scripting
- Able to demonstrate experience with software engineering practices including CI/CD Automated testing and Performance Engineering.
- Good understanding and exposure to Git Confluence and Jira
- Good problem solving and troubleshooting skills.
- Team player collaborative approach and excellent communication skills
Employment Type
Full Time
