Job description:

Professional experience in Data Engineering using Google Big Query (GBQ) and Google Cloud Platform (GCP) data sets and building data pipelines. Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Dataproc, Dataprep, Cloud Composer, Airflow, DAG etc.). Python Programming Expert PySpark, Pandas Experience in Airflow (Create DAG, Configure the variables in Airflow, Scheduling) Big Data technologies and solutions (Spark, Hadoop, Hive, MapReduce) and multiple scripting and languages (YAML, Python). Experience in DBT to create the lineage in GCP. Optional Worked in Dev-Sec-Ops (CICD) environment. Design and develop the ETL ELT framework using BigQuery, Expertise in Big Query concepts like Nested Queries, Clustering, Partitioning, etc. Experience in Data Integration, Data Transformation, Data Quality and Data Lineage tools. Should be able to automate the data load from Big Query using APIs or scripting language. E2E Data Engineering and Lifecycle (including non-functional requirements and operations) management. E2E Solution Design skills Prototyping, Usability testing and data visualization literacy. Experience with SQL and NoSQL modern data stores.

• To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
• To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure succeful delivery of complex projects.
• To ensure process compliance in the assigned module, and participate in technical discussionsorreview as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
• To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure and closure of escalations.