Senior Data Engineer (DTS) | Associate 2 [tag01]

Description

Job Summary: A data engineering and analytics professional at PwC focused on leveraging advanced technologies to design and develop robust data solutions, transforming raw data into actionable insights and driving business growth. Key Highlights: 1. Utilize advanced technologies and techniques to build robust data solutions. 2. Transform raw data into actionable insights for informed decision-making. 3. Develop and implement efficient data pipelines and data infrastructure. **Job Description & Summary** At PwC, our data engineering and analytics professionals focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a critical role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In PwC's data engineering practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Requirements: * Minimum of 3 years of experience in IT, with a focus on data engineering; * Proven experience in data engineering projects, including data collection, processing, and integration; * Experience collaborating with cross-functional teams to develop data-driven solutions; Prior experience in roles such as Junior Data Engineer or similar positions in the field of data engineering. * Technical Skills: * Proficiency in Python and SQL; * Familiarity with Java, Scala, or other programming languages; * Experience with relational databases (PostgreSQL, MySQL) and non-relational databases (MongoDB, Cassandra); * Proficiency with tools such as Hadoop, Spark, Kafka; * Advanced knowledge of ETL processes and tools, such as Airflow, Azure Data Factory, Apache NiFi, Talend, or Informatica; * Knowledge of cloud services, such as AWS, Azure, or Google Cloud; * Proficiency with code versioning systems, such as Git; Experience with data warehousing solutions, such as Delta Tables, Amazon Redshift, Google BigQuery, or Snowflake. * Academic Qualifications: * Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related fields. Language: * English (preferred). \#LI\-DNI