Senior Data Engineer Position

3 days ago

Rajahmundry, Andhra Pradesh, India beBeeDataEngineering Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Title: Data Engineering Specialist

Data Engineering Role Description

This is an exciting opportunity for a skilled data engineer to join our team and play a key role in designing and implementing dimensional and fact tables to support business intelligence.

The ideal candidate will have experience in developing highly scalable, reliable, and high-performance data processing pipelines to extract, transform, and load data from various systems to the enterprise data warehouse.

We are looking for a technical expert who can provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.

A successful candidate will analyze and resolve problems and provide technical assistance as necessary.

Additionally, they will work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.

Required Skills and Qualifications:

  • 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.
  • Expert with data warehousing concepts, strategies, and tools.
  • Strong SQL background.
  • Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL.
  • 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 SDLC, Agile, and Scrum processes.
  • Database Management Systems
  • ETL Framework
  • Data Warehousing
  • Big Data Technologies
  • Cloud Computing
  • Agile Methodologies
  • SQL
  • Relational Databases
  • API Integration

What We Offer:

Competitive salary and benefits package.

Opportunities for career growth and professional development.

Collaborative and dynamic work environment.

How to Apply:

Please submit your resume and cover letter to [insert contact information].

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