Data Engineer II

3 days ago

Cochin, Kerala, India Valorem Reply Full time US$ 1,20,000 - US$ 2,00,000 per year

Immediate to 30 days notice period candidates preferred

Key Responsibilities:

  • Design and implement general architecture for complex data systems.
  • Translate business requirements into functional and technical specifications.
  • Design and implement lakehouse architecture.
  • Develop and manage cloud-based data architecture and reporting solutions.
  • Apply data modelling principles for relational and dimensional data structures.
  • Design Data Warehouses following established principles (e.g., Kimball, Inmon).
  • Create and manage source-to-target mappings for ETL/ELT processes.
  • Mentor junior engineers and contribute to architectural decisions and code reviews.

Minimum Qualifications:

  • Bachelors Degree in Computer Science, Computer Engineering, MIS, or related field.
  • 5+ years of experience with Microsoft SQL Server and strong proficiency in T- SQL, SQL performance tuning (Indexing, Structure, Query Optimization).
  • 5+ years of experience in Microsoft data platform development and implementation.
  • 5+ years of experience with Power BI or other competitive technologies.
  • 3+ years of experience in consulting, with a focus on analytics and data solutions.
  • 2+ years of experience with Databricks, including Unity Catalog, Databricks SQL, Workflows, and Delta Sharing.
  • Proficiency in Python and Apache Spark.
  • Develop and manage Databricks notebooks for data transformation, exploration, and model deployment.
  • Expertise in Microsoft Azure services, including Azure SQL, Azure Data Factory (ADF), Azure Data Warehouse (Synapse Analytics), Azure Data Lake, and Stream Analytics

Preferred Qualifications:

  • Experience with Microsoft Fabric.
  • Familiarity with CI/CD pipelines and infrastructure-as-code tools like Terraform or Azure Resource Manager (ARM).
  • Knowledge of taxonomies, metadata management, and master data management.
  • Familiarity with data stewardship, ownership, and data quality management.
  • Expertise in Big Data technologies and tools:

o Big Data Platforms: HDFS, MapReduce, Pig, Hive.

o General DBMS experience with Oracle, DB2, MySQL, etc.

o NoSQL databases such as HBase, Cassandra, DataStax, MongoDB, CouchDB, etc.

o Experience with non-Microsoft reporting and BI tools, such as Qlik, Cognos,

MicroStrategy, Tableau, etc.

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