Lead Data Architect

1 day ago

Kannur, Kerala, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Data Engineer

We are seeking an experienced Senior Data Engineer to design and implement large-scale data processing pipelines, ensuring high performance, reliability, and scalability.

  • Design and develop dimensional and fact tables
  • Identify and implement data transformation and cleansing requirements
  • Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform, and load data from various systems to the enterprise data warehouse
  • Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions
  • Design, develop, and maintain ETL workflows and mappings using the appropriate data load technique
  • Provide research, high-level design, and estimates for data transformation and integration from source applications to end-user business intelligence solutions

Key Requirements:

  • Bachelor's degree in computer science or similar field or equivalent work experience
  • 3+ years of experience on data warehousing, data engineering, or data integration projects
  • Expertise with data warehousing concepts, strategies, and tools
  • Strong SQL background
  • Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL
  • Strong experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function, and GCS
  • Good to have knowledge on SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS)
  • Knowledge of AWS and Azure cloud is a plus
  • Experience in Informatica Power Exchange for Mainframe, Salesforce, and other new-age data sources
  • Experience in integration using APIs, XML, JSONs etc
  • In-depth understanding of database management systems, online analytical processing (OLAP) and ETL framework, data warehousing, and data lakes
  • Good understanding of software development lifecycle (SDLC), Agile, and Scrum processes
  • Strong problem-solving, multi-tasking, and organizational skills
  • Highly proficient in working with large volumes of business data and strong understanding of database design and implementation
  • Good written and verbal communication skills
  • Demonstrated experience of leading a team spread across multiple locations

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