Senior Data & Analytics Technical Lead

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 optimization.
• 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.