Data Integration Specialist

16 hours ago

Vijayawada, Andhra Pradesh, India beBeeDataIntegration Full time ₹ 10,00,000 - ₹ 18,00,000
Job Title

We are seeking a highly skilled Data Integration Specialist to join our team. As a key member of the organization, this individual will be responsible for designing, developing, and managing data pipelines to integrate data from various sources.

The ideal candidate will have hands-on experience with ETL tools, such as Informatica, and a strong understanding of data warehousing concepts. They will also possess excellent problem-solving skills and be able to work collaboratively in a fast-paced environment.

Key Responsibilities
  • Design, develop, and maintain data pipelines using Informatica and other tools to process and transform large datasets.
  • Work extensively with SQL to query, optimize, and manage data across systems.
  • Implement and optimize data models following data warehousing concepts (Star Schema, Snowflake Schema, Slowly Changing Dimensions, etc.).
  • Develop scalable data solutions and automation scripts using Python.
  • Leverage GCP services (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.) for data ingestion, transformation, and storage.
  • Collaborate with data analysts, data scientists, and business stakeholders to deliver reliable datasets and insights.
  • Monitor and troubleshoot data pipelines to ensure performance and data quality.
  • Document data workflows, processes, and standards.
Qualifications
  • 3–5 years of hands-on experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL (query optimization, stored procedures, performance tuning).
  • Solid experience with ETL development using Informatica and strong knowledge of data warehousing concepts.
  • Proficient in Python programming for data processing and automation.
  • Practical experience working with GCP services, especially BigQuery.
  • Understanding of data governance, data quality, and performance best practices.
  • Strong problem-solving skills and the ability to work in a collaborative team environment.
Preferred Qualifications
  • Exposure to MLOps pipelines or integration with machine learning models.
  • Knowledge of other cloud platforms (AWS/Azure) and their data engineering services.

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