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Hybrid Senior Data Engineer Senior Data Engineer

SAPGM Solutions · India · Hybrid

About the job

We are looking for Senior Data Engineer, send your resume to [email protected]

Company Overview

SAPGM Solutions is a growing leader and an expert in RPO, Staffing, Consulting, Trainings & Background Verification services. With 51-200 employees and headquartered in Ameerpet, Telangana, we belong to the IT Services and IT Consulting industry.

Job Overview

We are looking for a Senior Data Engineer to join our dynamic team. This mid-level position offers a range of employment types including remote, contract-to-hire, contract, or freelance, and is available in multiple locations: Hyderabad, Bangalore, Chennai, Pune, Kolkata, Noida, and Gurgaon. The ideal candidate should have a strong background in data engineering, data modeling, and ETL development.

Qualifications And Skills
  • Proven experience in data modeling (Mandatory skill) with a solid understanding of database design principles and best practices.
  • Expertise in ETL development (Mandatory skill) including experience with extract, transform, and load processes.
  • Proficiency in Python (Mandatory skill) for data manipulation, automation, and scripting tasks.
  • Experience with big data technologies such as Hadoop, Spark, or Flink for handling large datasets.
  • Solid understanding of data warehousing concepts and architecture, including schema design and data integration techniques.
  • Strong skills in SQL for querying, creating, and managing databases.
  • Experience in managing data pipelines including data ingestion, transformation, and distribution.
  • Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying and managing data solutions.

Roles And Responsibilities
  • Design, develop, and maintain scalable data models that support reporting and analytics needs.
  • Create and manage robust ETL processes to ensure the accurate and efficient movement of data across systems.
  • Utilize Python to automate data extraction, transformation, and loading tasks.
  • Implement and optimize big data solutions to handle large-scale data processing.
  • Develop and maintain data warehouses, ensuring data integrity and consistency.
  • Write efficient SQL queries to support data analysis and reporting requirements.
  • Oversee the creation, scheduling, and monitoring of data pipelines for continuous data flow.
  • Work with cloud platforms to deploy, manage, and monitor data engineering solutions.
  • Collaborate with cross-functional teams to understand and fulfill data requirements.

Desired Skills and Experience

Big Data Technologies, Data Modeling, ETL Development, Data Warehousing, SQL, Python, Data Pipeline Management, Cloud Platforms