Senior Developer

3 weeks ago

uttar pradesh, India Insight Global Full time
Required Skills & Experience:
-minimum of 8 years of experience in data engineering or related roles, with a solid background in data warehousing, data modeling, data access, and data storage techniques.
- Strong communication and collaboration-the ability to work with Product Owners and Stakeholders to reach consensus during design and development is crucial. You will need to clearly explain data nuances, data quality issues, and limitations to non-technical colleagues.
- Proficiency in SQL or Python with at least 8 years of experience in one of these ○ Need to be able to read complex SQL or python queries, understand them & modify them
- Experience with cloud platforms such as Databricks, Azure and proficiency in cloud services such as Azure Data Factory.
- Experience with using AI tools like ChatGPT or Copilot to develop and optimize code in an efficient manner is a plus.
-Excellent problem-solving skills, with the ability to analyze complex data issues and implement effective solutions
Job Description:
Seeking a highly skilled and seasoned Senior Data Developer to join a data analytics engineering team. This team is leading the charge in building the foundation for the analytics data infrastructure, a critical component that informs decision-making processes for our multi-billion-dollar business. As a Senior Data Developer, your key responsibilities will include understanding business requirements, converting them into technical specifications, designing and developing data models, and creating scalable data products primarily using SQL or Python.
Your role will necessitate close collaboration with diverse cross-functional teams, inclusive of business stake holders, BI analysts, and other data developers.
You will translate the business requirements into technical specifications using logical and critical thinking skills. You will profile data, join them, cleanse them, and build data products that meet the business requirements.
You will troubleshoot and resolve issues related to data quality, data incompleteness, and data pipeline.
You will have the ability to identify the root cause of poor code performance and resolve them through code optimization, modifying data structures, and configuration changes.
You will support multiple ongoing projects in a fast-paced environment across a global company
You should be comfortable with the design and implementation of any stage of an end-to-end data pipeline, including data ingestion, processing, transformation, and storage.

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