Associate Data Engineer
3 days ago
Key Responsibilities:Collaborate with cross-functional teams to understand data requirements and design data pipelines to ingest, process, and transform data from various sources.
Develop, optimize, and maintain ELT (Extract, Load, Transform) processes to ensure efficient data extraction and loading.
Implement data quality checks and monitoring mechanisms to ensure data accuracy, quality, and consistency.
Develop ETL pipelines for general business consumption, establishing patterns for repeatable, scalable ETL work that others can leverage in their work.
Implement data governance and master data management principles across specific project execution.
Collaborate with global business teams to understand the problems and design scalable solutions.
Identify and understand the necessary data sources for projects and efficient ways to clean and transform it.
Work with Global Technology to ensure that solutions are up to current standards and best practices.
Stay up-to-dateon the latest technologies and build new skills in data engineering, technologies and platforms.
Basic Qualifications:B.E in Data Science, Engineering, Mathematics, Statistics with 4+ years prior relevant engineering experience OR Advanced Degree in Data Science, Engineering, Mathematics, Statistics with and 2+ years prior relevant engineering experience.
2+ years as a Data Engineer, with a strong track record of designing and implementing data solutions.
Hands-on experience with data warehousing technologies (e.g., Databricks, AWS Redshift, Snowflake, Azure Synapse) and ETL tools (e.g. Fivetran, SSIS, AWS Glue, Qlik Replicate).
Strong database knowledge, including SQL and NoSQL databases (e.g., PostgreSQL, MySQL, SQL Server, MongoDB, Cassandra).
Outstanding written and verbal communication skills in English.
Exceptional interpersonal skills with the ability to cultivate strong relationships with internal and external stakeholders. Demonstrated experience in fostering collaboration and driving alignment across diverse teams.
Self-starter with high level of intellectual curiosity.
Strong analytical and hardworking problem-solving mindset
Preferred Qualifications:Experience in Aerospace & Defense Processes from Design to Manufacturing to After Sales & Support
Broad understanding of gas turbine engine fundamentals and associated components.
Knowledge and experience in Data Governance, Architecture and Platforms
Strong learner who is comfortable learning new libraries and frameworks
Experience working in an agile environment.
Role Type:
Hybrid - Employees who are working in Hybrid roles will work regularly both onsite and offsite
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