Data Engineer
Data Engineer
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Job Description
Job Title: Data Engineer
Location: Pune Bangalore
Experience: 24 Years
Skills: Azure Python DBT SQL Snowflake
Job Summary:
As a Data Engineer you will apply your skills in Snowflake SQL Python and Azure to design implement and optimize data pipelines and solutions for largescale data processing and analytics. You will work with a variety of technologies including DBT for data transformation Shell Scripting for automation and data modeling techniques to create highquality data structures. You will also collaborate with crossfunctional teams to ensure efficient data flow and integration while adhering to best practices in cloud infrastructure and security.
Roles & Responsibilities:
- Snowflake & SQL Development: Handson experience in working with Snowflake data warehouse for data storage retrieval and optimization. Strong proficiency in writing and optimizing SQL queries for large datasets.
- Data Transformation (DBT): Exposure to DBT for transforming raw data into actionable insights and reports.
- Python Development: Ability to write Python scripts for data processing automation and integration with data platforms.
- Data Modeling: Exposure to data modeling concepts and practices to ensure the creation of efficient and scalable data architectures.
- Shell Scripting: Familiarity with shell scripting to automate datarelated tasks and pipeline management.
- Cloud & Azure: Experience with Azure for cloud infrastructure management including data storage compute and data processing services.
- Collaboration & Communication: Ability to collaborate with crossfunctional teams to gather data requirements troubleshoot issues and implement solutions. Strong communication skills to explain complex technical concepts to both technical and nontechnical stakeholders.
MustHave Skills:
- Basic knowledge of Snowflake data warehouse and experience with SQL for querying and data manipulation.
- Exposure to DBT for data transformation and pipeline management.
- Ability to write Python scripts for data processing and automation.
- Basic to midlevel understanding of data modeling concepts.
- Familiarity with shell scripting for automating datarelated tasks.
- Proficiency in Azure cloud services particularly for data processing and storage solutions.
- Strong communication skills for effective collaboration and technical explanation.
Additional Skills:
- Experience with any of the orchestration tools (Tidel AirFlow Control M) to manage and automate workflows.
- Exposure to security best practices for cloudbased data solutions.
Employment Type
Full Time
