Chief Data Architect

1 week ago

Lucknow, Uttar Pradesh, India beBeeDataEngineering Full time ₹ 1,83,00,000 - ₹ 2,13,00,000
Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to join our team. As a key member of our data engineering team, you will play a crucial role in designing and implementing Dimensional and Fact tables, identifying and implementing data transformation/cleansing requirements, and developing a highly scalable, reliable, and high-performance data processing pipeline.

The successful candidate will have experience in conceptual, logical, and physical data modeling, as well as ETL workflow development and maintenance. They will also provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.

The ideal candidate will have strong problem-solving, multi-tasking, and organizational skills, with excellent written and verbal communication skills. Experience of leading a team spread across multiple locations is also desirable.

  • Data Engineering Responsibilities:
  • Designing and implementing Dimensional and Fact tables.
  • Developing a highly scalable, reliable, and high-performance data processing pipeline.
  • Providing research, high-level design, and estimates for data transformation and data integration.
  • Providing production support of ETL processes.
  • Analyzing and resolving problems.
  • Partnering with the BI team to evaluate, design, develop BI reports and dashboards.
  • Working collaboratively with key stakeholders to translate business information needs into well-defined data requirements.
Requirements

To be successful in this role, you will need:

  • A Bachelor's degree in Computer Science or a similar field, or equivalent work experience.
  • 3+ years of experience on Data Warehousing, Data Engineering or Data Integration projects.
  • Expert knowledge of 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 knowledge of 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 (Extract, transform, load) framework, data-warehousing and Data Lakes.
  • Good understanding of SDLC, Agile and Scrum processes.

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