DE (SQL+Python+Data Pipeline)

Wissen Technology is Hiring for Junior Data Engineer

About Wissen Technology:

Wissen Technology is a globally recognized organization known for building solid technology teams, working with major financial institutions, and delivering high-quality solutions in IT services. With a strong presence in the financial industry, we provide cutting-edge solutions to address complex business challenges.

Role Overview:

We are looking for a Junior Data Engineer with a strong foundation in SQL, databases, and cloud data platforms . This role is ideal for candidates who have hands-on experience in querying large datasets, working with data frames in Python, and are eager to grow in a data engineering environment involving cloud technologies, data pipelines, and real-time data streaming.

Key Responsibilities:

• Write, optimize , and maintain complex SQL queries for data extraction, transformation, and reporting.
• Work with relational databases and cloud data warehouses such as Snowflake and Redshift .
• Apply data modeling principles , including normalization and understanding of various data types.
• Utilize Python along with Pandas or PySpark for data processing and analysis.
• Assist in the development and maintenance of ETL/ELT pipelines to manage large-scale data workflows.
• Collaborate with analysts, engineers, and business teams to ensure clean, consistent, and accessible data.
• Gain exposure to NoSQL databases such as MongoDB or DynamoDB.
• Use cloud platforms , preferably AWS , for managing and accessing data services.
• Create reports and dashboards using visualization tools like Tableau, Power BI, or Looker.
• Support initiatives involving real-time data streaming and help manage data streaming platforms (e.g., Kafka, Kinesis).
  
  

Required Skills :

• 1+ years of experience working with SQL and databases.
• Strong proficiency in SQL and understanding of data modeling and data warehousing concepts .
• Basic experience with Python and data frame libraries like Pandas or PySpark .
• Familiarity with cloud-based data warehouse platforms like Snowflake and Redshift .
• Understanding of NoSQL databases and unstructured data handling.
• Exposure to ETL/ELT tools and practices .
• Awareness of cloud platforms , especially AWS and its data services.
• Working knowledge of data visualization tools such as Tableau, Power BI, or Looker.
• Interest in or basic understanding of real-time data streaming platforms .