Job
Description
Greetings from "HCL Software" "HCL Software: - Is a Product Development Division of HCL Tech: That operates its primary Software business. At HCL Software we Develop, Market, Sell and Support over 20 Product families in the areas of Customer Experience, Digital Solutions, Secure DevOps, Security & Automation. About Unica Product: - HCL Unica is Cloud Native: Adopt the whole new HCL Unica - Cloud native integrated marketing platform that can be deployed with the choice and flexibility to scale on any cloud & any environment - public, private, or hybrid - in minutes. Note: Are you available for a F2F Interview on 12th April (Saturday) _Pune. We are looking for a Sr. Data Engineer (ETL & Python in our Unica Product team (Pune Location) with 5+ years of experience who possess the following skills: Mandate Skill: Btech/BE in Computer Science or related technical field or proof of exceptional skills in related fields with practical software engineering experience. Programming languages: Python, Spark, SQL, DBT. Database: Preferred (PostgreSQL, MongoDB), or any RDBMS, NOSQL databases. orchestration: Apache Airflow, Prefect, NIFI Cloud tech: AWS (e.g., S3, Redshift, Glue), Google Cloud Platform (e.g., BigQuery, Cloud Composer) Streaming: Apache Kafka / google cloud pub/sub Devops: Docker / Kubernetes, GIT. Role Responsibility: - Develop and manage data pipelines for extracting, loading, and transforming data from multiple sources. Work with open-source and cloud-based databases (e.g., PostgreSQL, Snowflake, BigQuery, Redshift). Automate database operations and ETL tasks using programming languages such as Python and frameworks like Spark. Implement CI/CD practices and version control to streamline deployments. Ensure efficient and reliable orchestration using tools like Apache Airflow, Prefect, or Dragster. Experience working on API integration and real time streaming. Role Description: - A Data Engineer is responsible for designing, building, and maintaining robust data pipelines and architectures that enable the collection, transformation, and storage of large datasets. Ensure data quality and reliability, support data-driven decision-making, and facilitate the integration of various data sources into centralized systems.
