at Capgemini
ConsultanciesPosted 15 days ago
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**GCP Data Engineer:** Collaborate with data teams to deliver top-tier data solutions on Google Cloud Platform (GCP). Ensure data quality, security, and governance. Write efficient Python/PySpark code, optimize SQL queries, and build transformations. Leverage GCP tools like Dataflow, BigQuery, Pub/Sub, Cloud Composer, and Cloud Storage. Requires strong proficiencies in Python, PySpark, SQL, and GCP. Experience with CI/CD and DevOps practices a plus. Join our dynamic team driving transformation through data-driven insights.
- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
Full Job Description
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
Your role
- Collaborate with data scientists, analysts, and application developers to deliver high-quality data solutions.Ensure data quality, governance, and security across all pipelines and storage layers.
- Write efficient and maintainable code in Python and PySpark.Develop and optimize SQL queries for data extraction and transformation.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.Implement data quality checks and monitoring, ensuring data accuracy and reliability.
- Must have working knowledge in GCP Dataflow, BigQuery, Pub/Sub, Cloud Composer, and Cloud Storage.Hands-on experience with CI/CD tools and DevOps practices.
Your Profile
- Strong analytic skills related to working with structured, semi structured, unstructured datasets.Working knowledge of message queuing, stream processing, and highly scalable ‘big data data stores.GCP Dataflow, BigQuery, Pub/Sub, Cloud Composer, and Cloud Storage.
- Experience with relational databases such as Microsoft SQL Server, MySQL, PostGreSQL, Oracle and NoSQL databases such as Hadoop, Cassandra, Mongo Db. Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Proficiency in Python and PySpark.Strong SQL skills, including query optimization and performance tuning.Familiarity with data warehousing, data lake concepts and ETL processes.
- Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational databases such as Microsoft SQL Server, MySQL, PostgreSQL, Oracle, and NoSQL databases such as Hadoop, Cassandra, MongoDB.
What you will love about working here
- We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
- At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
- Equip yourself with valuable certifications in the latest technologies such as Generative AI.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
