Senior Data & Analytics Technical Lead

unisync systems pte. ltd.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

unisync systems pte. ltd. is seeking a skilled Data Engineer to design, develop, and support enterprise-scale data solutions for banking and financial services. The role focuses on data pipelines, ETL processing, and modernization across complex environments.

You will work with Python, PySpark, SQL, Hive, and Spark on Hadoop and cloud storage platforms, building scalable data processing and quality assurance. Strong collaboration with IT and business teams is essential for success.

Qualifications

• Degree in Computer Science, Information Technology, Data Engineering, or a related discipline.
• Strong hands-on experience in data engineering, ETL, data warehousing, and Big Data technologies.
• Proficiency in Python, PySpark, SQL, and Hive/HQL.
• Experience with Hadoop, Spark, and enterprise data platforms.
• Experience with Talend, DataStage, and/or Informatica.
• Experience with Teradata, Oracle, or SQL Server.
• Unix/Linux and shell scripting experience.
• CI/CD tools such as Git and Jenkins.

Responsibilities

• Design, develop, and optimize scalable data pipelines and ETL processes.
• Develop and maintain data processing solutions using Python, PySpark, SQL, Hive, and Spark.
• Work with Big Data platforms, including Hadoop HDFS, Hive, and cloud/object storage environments.
• Perform data extraction, transformation, and loading from multiple source systems.
• Design and implement data migration and modernization solutions involving DataStage, Talend, Informatica, and Hadoop.
• Develop and optimize batch processing and scheduling workflows using Autosys and Control-M.
• Perform data profiling, data quality checks and performance optimisation.
• Support data warehouse and dimensional data modelling activities.
• Implement CI/CD processes for data pipeline deployments.
• Work with business, application, and infrastructure teams to deliver data solutions.
• Provide technical leadership and production support for enterprise data platforms.

Skills

Data engineering

ETL processes

Python

PySpark

SQL

Hive/HQL

Big Data

CI/CD

Git

Jenkins

Data modelling

Data quality

Pipeline optimization

Banking/financial services experience

Education

Bachelor's degree in Computer Science or related

Tools

Snowflake

Cloudera

Autosys

Control-M

Talend

DataStage

Informatica

Teradata

Oracle

SQL Server

Hadoop

Spark

Job description

Job Summary

We are looking for a data engineer to design, develop, and support enterprise-scale data engineering solutions. The role will focus on data pipelines, ETL processing, big data platforms, data migration, data quality, and optimization across banking and financial services environments.

Key Responsibilities

• Design, develop, and optimize scalable data pipelines and ETL processes.
• Develop and maintain data processing solutions using Python, PySpark, SQL, Hive, and Spark.
• Work with Big Data platforms, including Hadoop HDFS, Hive, and cloud/object storage environments.
• Perform data extraction, transformation, and loading from multiple source systems.
• Design and implement data migration and modernization solutions involving DataStage, Talend, Informatica, and Hadoop.
• Develop and optimize batch processing and scheduling workflows using Autosys and Control-M.
• Perform data profiling, data quality checks and performance optimisation.
• Support data warehouse and dimensional data modelling activities.
• Implement CI/CD processes for data pipeline deployments.
• Work with business, application, and infrastructure teams to deliver data solutions.
• Provide technical leadership and production support for enterprise data platforms.

Requirements

• Degree in Computer Science, Information Technology, Data Engineering, or a related discipline.
• Strong experience in data engineering, ETL, data warehousing, and Big Data technologies.
• Strong hands‑on experience in Python, PySpark, SQL, and Hive/HQL.
• Experience with Hadoop, Spark, and enterprise data platforms.
• Experience with Talend, DataStage, and/or Informatica.
• Experience with Teradata, Oracle, or SQL Server.
• Experience with Unix/Linux and shell scripting.
• Experience with CI/CD tools such as Git and Jenkins.
• Strong understanding of data modelling, data quality, and data pipeline optimization.
• Banking or financial services experience will be an advantage.

Preferred Skills

• Experience with Snowflake and Cloudera.
• Experience with Autosys, Control-M, or similar scheduling tools.
• Experience in large-scale data migration and technology modernization.
• Strong stakeholder management and technical leadership skills.