{"id":1250286,"url":"https://alion.io/job/synapxe-assistant-lead-analyst-informatica-engineering","title":"Assistant Lead Analyst - Informatica (Engineering)","company":{"id":1834356,"name":"Synapxe","domain":"synapxe.sg","url":"https://alion.io/company/synapxe","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"DynamoDB","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"Hadoop","optional":true},{"name":"Kubernetes","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-19T02:00:00Z","employer_posted_date":"2026-09-19","last_verified_at":"2026-09-30T00:26:54Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Position Overview\nWe 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\nRole & Responsibilities\nDesign 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.\nCreate, 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.\nIntegrate 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.\nDevelop 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.\nMonitor 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.\nImplement 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.\nImplement 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.\nMaintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.\nCollaborate 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.\nIdentify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.\nOptimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.\nStay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques\nRequirements\nBachelor’s or master’s degree in computer science, data engineering, or a related field.\nMinimum 8 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.\nProficiency in programming languages such as Python, Java, or Scala for building data pipelines.\nEvaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.\nStrong knowledge of SQL and NoSQL databases.\nFamiliarity with data modeling and schema design.\nExcellent problem-solving and analytical skills.\nStrong communication and collaboration skills.\nAWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.\nPreferred Skills:\nExperience with big data technologies like Apache Spark and Hadoop on Databricks.\nKnowledge of data governance and data cataloguing tools, especially Informatica IDMC.\nFamiliarity with data visualization tools like Tableau or Power BI.\nKnowledge of containerization and orchestration tools like Docker and Kubernetes.\nUnderstanding of DevOps principles for managing and deploying data pipelines.\nExperience with version control systems (e.g., Git) and CI/CD pipelines.\nApply Now\nNOTE: It only takes a few minutes to apply for a meaningful career in HealthTech - GO FOR IT!!","description_format":"text","description_chars":4421,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T18:18:03Z"}],"liveness":{"score":78,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.861,"p_room":0.9,"age_days":11,"expected_fill_days":25,"reasons":["conf:5","velocity","win:mid","comp:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/synapxe-assistant-lead-analyst-informatica-engineering","json_url":"https://alion.io/job/synapxe-assistant-lead-analyst-informatica-engineering.json","meta":{"generated_at":"2026-09-30T06:45:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4836,"day_limit":5000,"remaining_today":164,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}