Senior Data Engineer GCP

1 month ago


Delhi, Delhi, India Logic Software Solutions Full time
Job Title: Senior Data Engineer (GCP)

We are seeking a seasoned Senior Data Engineer to join our team at Logic Software Solutions. As a key member of our data engineering team, you will be responsible for architecting, implementing, and maintaining high-performance data pipelines using GCP services, particularly BigQuery, Cloud Storage, Cloud Functions, and Dataflow.

Key Responsibilities:
  • Design and implement efficient, scalable data pipelines using GCP services.
  • Develop complex SQL queries, including joins, CTEs, and aggregations, to enable robust data analysis and reporting.
  • Develop ETL processes using SSIS for operational data integration and leverage SSRS for generating executive-level reporting and analytics dashboards.
  • Employ Python to create production-quality scripts and applications for data ingestion, transformation, and visualization using libraries such as Pandas, NumPy, or Apache Airflow for orchestrating workflows.
  • Engage with cross-functional teams to elicit, document, and analyze business requirements, subsequently translating these into comprehensive technical specifications, data models, and workflows.
  • Implement and uphold data governance frameworks to ensure data integrity, quality control, and security protocols across all data engineering processes.
  • Monitor data pipelines and system performance metrics, identifying bottlenecks and implementing solutions to optimize throughput and minimize downtime.
  • Provide analytical insights and recommendations to project and client management, facilitating data-driven decision-making.
  • Mentor junior data engineering staff, cultivating an environment of knowledge sharing and professional development.
  • Stay abreast of the latest trends in data engineering technologies, tools, and methodologies to continually refine our data practices.
Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related discipline; a Master's degree is highly desirable.
  • A minimum of 8 years of experience in the field of data engineering, particularly within GCP and the BigQuery architecture.
  • Profound experience in formulating and executing complex SQL queries and a solid understanding of relational database design principles.
  • Advanced proficiency with SSIS for ETL processes and SSRS for business intelligence reporting.
  • Strong programming skills in Python, with a focus on data manipulation and the development of scalable ETL solutions.
  • Demonstrated ability in constructing, deploying, and maintaining data engineering pipelines using modern best practices.
  • Strong verbal and written communication skills, complemented by an ability to liaise effectively between technical teams and business stakeholders.
  • Exceptional analytical and problem-solving capabilities, with a proactive approach towards diagnosing and resolving issues.
  • Working knowledge of data governance principles, compliance with data privacy regulations, and industry best practices.
Preferred Skills:
  • Familiarity with additional GCP services, such as Cloud Dataflow for stream/batch processing, Dataproc for managing Hadoop/Spark clusters, or Pub/Sub for messaging services.
  • Understanding of machine learning concepts and frameworks (e.g., TensorFlow, scikit-learn) to integrate predictive analytics within data solutions.
  • Experience working within Agile environments and proficiency with project management tools (e.g., JIRA, Trello).
What We Offer:
  • A competitive salary and comprehensive benefits package.
  • Opportunities for continued professional development and advancement within a cutting-edge environment.
  • A collaborative workspace that encourages innovation and creativity.
  • Flexible working options to support work-life balance.


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