You will:
Consults with business on low to moderately complex business needs (Good communication skills -Verbal and written)
Perform a variety of Data Analysis, ETL and Data Administration tasks with limited supervision.
Design, develop, and maintain scalable ETL pipelines and collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
Stay updated with the latest industry trends and technologies and mentor junior data engineers and provide technical guidance
Work on Data Profiling, preparing Mapping documents and Performance Tuning
Overall industry experience of 8+ yrs with at least 5 years relevant experience in advanced ETL skills, including experience with tools like Airflow, ControlM, or Informatica.
Proficiency in Python programming for data manipulation and automation.
Strong knowledge of SQL and NoSQL databases.
Experience with big data technologies such as Hadoop, Spark, or Kafka.
Familiarity with cloud platforms like AWS, Azure, ADF Synapse and SQLserver
Desirable Requirements
Experience with product data and understanding of product lifecycle management.
Familiarity with data visualization tools like Tableau or Power BI.
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