Responsibilities

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: Hive, 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 confirm 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

Bachelor's degree or higher in Computer Science Engineering, or a related field.
At least 2-3 years of relevant working experiences in Talend, Python and Spark
Should have good knowledge and working experience in Datalake and Hadoop (Hive, Impala, HDFS).
Hands-on experience in designing, developing, and optimizing Talend Big Data jobs leveraging the Spark engine
Good understanding of Spark Catalyst Optimizer and spark executer parameters to optimize the Spark queries
Strong experience in data-warehousing and data-modeling techniques
Knowledge of industry-wide visualization and analytics tools
Good interpersonal skills and positive attitude

Shortlisted candidates will be offered 1 Year agency contract employment.