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Software Engineer, Senior ( Data Warehouse )

up to ₹4000k/year Hyderabad, India Full-time
SQL DeveloperDatabase DeveloperData ArchitectData ModelerData Engineering ManagerData Engineer

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We are seeking a Senior Software Engineer to design, develop, and deliver high-quality software solutions across our cloud product portfolio. As a critical member of our agile engineering team, you will drive technical excellence, mentor junior engineers, and contribute to the evolution of Infor’s next-generation applications.

A Typical Day in the Life Includes:

  • Design, develop, and maintain enterprise-scale data warehouse solutions.
  • Build and optimize ETL/ELT pipelines to ingest, transform, and load data from multiple source systems.
  • Develop and manage dimensional and relational data models to support reporting and analytics.
  • Ensure data quality, integrity, consistency, and governance across data platforms.
  • Optimize database performance, query execution, and storage utilization.
  • Integrate data from ERP, CRM, cloud, and third-party systems into the data warehouse.
  • Implement data security, access controls, and compliance requirements.
  • Collaborate with business analysts, data architects, and BI teams to deliver data solutions.
  • Support reporting, dashboarding, and advanced analytics initiatives.
  • Monitor, troubleshoot, and resolve data pipeline and warehouse-related issues.
  • Automate data processing workflows and deployment processes using CI/CD practices.
  • Develop and maintain technical documentation, data dictionaries, and metadata repositories.

Basic Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 3-5 years of experience with Data Warehouse concepts, architecture, and data modeling techniques.
  • Proficiency in SQL and database platforms such as SQL Server, Oracle, PostgreSQL, Snowflake, Redshift, or Synapse.
  • Experience designing and developing ETL/ELT solutions using tools such as Azure Data Factory, SSIS, Informatica, Talend, or Databricks.
  • Proficiency in cloud platforms (AWS, Microsoft Azure, or Google Cloud Platform) for data warehousing, storage, and data processing.
  • Experience with big data technologies such as Spark, Hadoop, or Delta Lake.
  • Knowledge of data governance, data quality, master data management, and security best practices.
  • Familiarity with BI and reporting tools such as Power BI, Tableau, or Qlik.
  • Experience with version control systems (Git) and CI/CD pipelines.
  • Strong analytical, problem-solving, and performance-tuning skills.
  • Excellent communication and stakeholder management abilities.
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills

Preferred Qualifications:

  • Experience with modern cloud data warehouse platforms (Snowflake, Azure Synapse, BigQuery, Redshift).
  • Knowledge of Data Lake, Lakehouse, and Medallion architecture patterns.
  • Experience working in Agile/Scrum environments.
  • Relevant cloud or data engineering certifications (Azure, AWS, Google Cloud, Snowflake).

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