Data Analyst / Data Engineer

Omm IT Solutions
18hOnsite

About The Position

We are seeking a highly skilled Data Analyst / Data Engineer to design, build, and optimize data solutions that support analytics, reporting, and regulatory needs across the organization. The ideal candidate is hands-on with strong expertise in IICS and SQL and has experience working across modern data platforms, cloud environments, and data transformation tools.

Requirements

  • Strong expertise in IICS (Informatica Intelligent Cloud Services)
  • Advanced SQL development skills
  • Experience with AWS cloud services (e.g., S3, Glue, Lambda, Redshift).
  • Strong understanding of data modeling (dimensional, relational, conceptual/logical/physical models).
  • Hands-on experience with Python for data transformation, automation, or analytics.
  • Experience working with data warehousing tools, ETL/ELT pipelines, and distributed data systems.
  • Ability to interpret business requirements and translate them into technical data solutions.
  • Strong analytical thinking, troubleshooting skills, and attention to detail.
  • Excellent communication and documentation skills; ability to work cross-functionally.

Nice To Haves

  • Experience with Snowflake, Tableau, or SAS.
  • Familiarity with Agile/Scrum delivery practices.
  • Experience in regulated industries or environments requiring strict data compliance.

Responsibilities

  • Design, develop, and maintain scalable data solutions across analytics, reporting, and data warehousing environments.
  • Perform hands-on coding and development using SQL, Informatica IICS, Python, Snowflake, and SAS.
  • Build and support data models, ETL/ELT pipelines, and integration processes across multiple systems.
  • Optimize data workflows for performance, availability, and reliability.
  • Execute data migration, integration, transformation, and enrichment activities across complex and large datasets.
  • Conduct detailed data profiling, validation, and testing to ensure completeness, accuracy, and consistency.
  • Support source-to-target mapping, lineage documentation, and reconciliation activities.
  • Troubleshoot and resolve data issues, ensuring high-quality and reliable data delivery.
  • Produce analytical outputs, datasets, and reports to support business operations and regulatory requirements.
  • Develop dashboards and visualizations using Tableau and other reporting tools.
  • Translate business needs into technical specifications and deliver actionable analytics solutions.
  • Work closely with business stakeholders, engineering teams, product owners, and program managers to meet project milestones.
  • Document designs, transformation logic, data dictionaries, and testing outcomes clearly and thoroughly.
  • Contribute to continuous improvement of data standards, governance practices, and engineering processes.
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