Data Engineering Analyst

Job Description:

• Using the Talend ETL toolset, to create new and maintain existing ETL jobs.
• Design and implement ETL for extracting and transforming data from diverse sources, such as: Cloudera, PostgreSQL, and SQL Server databases.
• Design and develop database tables necessary along with the necessary constraints as per the requirement.
• Collaborate with Team members to understand source system structures and data retrieval methods/techniques, and tools within the organization.
• Support the development of data transformation logic using ETL tools or scripting languages like SQL, Python, etc.
• Clean, validate, and transform data to conform to target schema and quality standards.
• Work with the Team to execute data quality improvement plans.
• Participate in troubleshooting activities to maintain data integrity and process efficiency.

Requirements:

• Experience with Talend, Python and Spark
• Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, HDFS).
• Understanding of data-warehousing and data-modeling techniques
• Knowledge of industry-wide visualization and analytics tools Good interpersonal skills and positive attitude qualifications
• Degree in computer science, mathematics, or engineering