Data Analyst - Google Cloud Platform (3-7 yrs)

Urgent requirement for GCP Data Analyst.

Experience : 3-7 Yrs

Job Location : Pune/Hyderabad/Bangalore/Mumbai/Gurgaon

Job Description :

- Analyse and maintain scalable and reliable data pipelines using BigQuery stored procedures and SQL to support the data marts (structured data source) and unstructured data sources to BigQuery.

- Understand data ingestion and integration processes that ensure data quality and consistency.

- Use the GCP tools to create and manage ETL processes that transform and load data efficiently from/into BigQuery.

- Ensure the resilience and efficiency of data transformation jobs that can handle large volumes of data within a cloud-based architecture.

- Work closely with our Data Engineers to gather requirements for the currently developed data pipelines.

- Provide expertise in GCP services like DataProc, DataFlow, Cloud Functions, Workflows, Cloud Composer, and BigQuery, advocating for best practices in cloud-based data management.

- Collaborate with data architects and other stakeholders to optimize data models and warehouse design for the cloud environment.

- Develop and implement monitoring, quality, and validation processes to ensure the integrity of data pipelines and data.

- Document all data engineering processes and create clear specifications for future reference and compliance.

Requirements :

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- Minimum of 3 years to 7 years of experience as a Data Analyst with a focus on cloud-based solutions in Financial domain.

- Proficient in GCP services, with a strong emphasis on data-related products such as DataProc, DataFlow, Cloud Functions, Workflows, Cloud Composer, and BigQuery.

- Experience in building and optimizing data pipelines, architectures, and data sets from structured/unstructured data sources.

- Strong analytical skills with the ability to understand complex requirements and translate them into technical solutions.

- Excellent problem-solving abilities and a commitment to quality.

- Strong communication skills, with the ability to work collaboratively in a team environment.

- Relevant certifications in the Google Cloud Platform or other data engineering credentials are desirable.

- Proficiency in SQL and Python with knowledge of Spark.

- Fluent in English, with strong written and verbal communication skills.

- Exposure to Agile practices, Jira and Confluence.