Lead Data Engineer– PySpark, AWS (5+ Years)
An excellent opportunity for an individual holding an overall 5+ years of experience in the designing, development, testing, maintenance, and support data assets including; BigQuery, Dataflow, Dataproc, Cloud Data Fusion, Dataprep, SQL script creation, stored procedure development, integration services. The profile is ideal for a person holding an extensive experience in Python, PySpakrk, SQL and AWS.
Location –Pune/ Noida/ Gurgaon
Your Future Employer: One of the largest Global analytics and digital solutions company serving industries including insurance, healthcare, banking, and financial services, media, retail, and others
Writing code in programming language & working experience in Python, PySpakrk, Scala or Similar
Designing, building, operationalizing, securing, and monitoring data processing systems on Google Cloud Platform
Acting as a SME in data engineering and GCP data technologies
Writing requirement, functional & technical documentation & working experience in Integration design document, architecture documentation, data testing plans or Similar
Reading Data Formats & working experience in JSON, XML or Similar
Hands on experience with GCP Data Products (e.g. BigQuery, Dataflow, Dataproc, Cloud Data Fusion, Dataprep, etc.)
SQL queries & working experience in SQL code or Stored Procedures or Functions or Views or Similar
Database & working experience in any of the database like MS SQL, Oracle or Similar
Analytical Problem Solving skills & working experience in resolving complex problems or Similar
Architecture and data modelling for Data Lake on cloud & working experience in Amazon WebServices (AWS), Microsoft Azure, Google Cloud Platform (GCP)
Basic understanding of Build and Release management & working experience in Azure DevOps, AWS CodeCommitt or Similar
What is in it for you?
Grow in culture focused on training and mentoring
Work in a fast-paced environment in an established brand
If you think you are perfect fit for this role, kindly drop me an email along with your updated CV at email@example.com.
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Profile Keywords- Data engineer, Data engineering, Python, Pyspark, SQL, Azure, Data warehousing, Data modelling, IT Services & Consulting