Assistant Lead Analyst - Informatica (Engineering)

Synapxe; Singapore; Hybrid; SGD 120,000 - 160,000; Full time

Job summary

Synapxe is seeking an Assistant Lead Analyst - Informatica (Engineering) to design, build, and govern a robust data infrastructure across AWS, Databricks, and Informatica IDMC. You will architect storage solutions, pipelines, and metadata management to extract insights while ensuring security and compliance.

You will collaborate with data scientists, analysts, and engineers to deliver scalable data solutions, optimize performance, and enforce data quality and governance standards in a fast-paced

Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• Minimum 8 years of experience in data engineering with AWS, Databricks, and/or Informatica IDMC.
• Proficiency in Python, Java, or Scala for building data pipelines.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with data modeling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• AWS, Databricks, and Informatica certifications are a plus.

Responsibilities

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services and Databricks Delta Lake.
• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS, Databricks, and Informatica IDMC.
• Integrate data from various sources into AWS and Databricks environments, ensuring data consistency and governance.
• Develop ETL processes to cleanse, transform, and enrich data for analytics using Databricks and Informatica IDMC.
• Monitor and optimize data processing and query performance in AWS and Databricks environments.
• Implement security best practices and data encryption to protect sensitive data and ensure compliance.
• Automate routine tasks using AWS Step Functions, Lambda, Databricks Jobs, and Informatica IDMC.
• Maintain documentation of data infrastructure, pipelines, and configurations with metadata management.

Skills

AWS

Databricks

Informatica IDMC

Python

Java

Scala

SQL

NoSQL

Data modeling

Data governance

ETL

Spark

Docker

Kubernetes

Tableau

Power BI

Git

CI/CD

Education

Bachelor’s or Master’s in CS/Data Eng/related field

Tools

Docker

Kubernetes

Tableau

Power BI

Git

CI/CD

Spark

Job description

Select how often (in days) to receive an alert:

Assistant Lead Analyst - Informatica (Engineering)

We are hiring a Data Engineer specializing in AWS, Databricks, and Informatica IDMC is responsible for building and maintaining a robust, integrated, and governed data infrastructure that leverages the strengths of the analytics platforms to extract valuable insights from data while ensuring data security, compliance, and high-quality data management

Role & Responsibilities

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.
• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.
• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.
• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.
• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.
• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.
• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.
• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.
• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.
• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques

Requirements

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• Minimum 8 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.
• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with data modeling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Preferred Skills

• Experience with big data technologies like Apache Spark and Hadoop on Databricks.
• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.
• Familiarity with data visualization tools like Tableau or Power BI.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Understanding of DevOps principles for managing and deploying data pipelines.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.