Data Engineer - ETL

Responsibilities : - Data Solution Design : Partner with architecture and platform teams to build innovative data product capabilities that align with business growth strategies. - Development & Delivery : Develop highly reliable and secure data pipelines while ensuring scalability and performance. - Stakeholder Collaboration : Work closely with Business Analytics leaders to align data products with business needs and articulate value through data and technology. - Framework Implementation : Prioritize and implement data engineering methodologies to optimize platform and solution performance. - Team Participation : Act as an integral part of the data engineering team within the DevSecOps framework. - Thought Leadership : Serve as a thought leader in data technology and empower businesses through robust data solutions. - Trusted Partnerships : Collaborate with Data Engineering, Architecture, and Science teams to scale and adopt data products effectively. Skills : Must-have skills and tools : - 3 years of progressive experience with full-stack data frameworks (ETL/ELT, data analysis, compute & storage, pipelines, orchestration). - 2 years of hands-on experience in Cloud Architecture (Azure, GCP, AWS) and cloud-based databases (Synapse, Databricks, Snowflake, Redshift). - Proficiency in SQL/PySpark, Python, DBT, and other ETL platforms (e.g., IICS, SAP BODS, SAP Datasphere). - 2 years implementing data pipelines using data mesh/fabric concepts. - 3 years of experience in Agile methodology (Scrum/Kanban) within a DevSecOps model. - 2 years leading data engineering teams in Consumer/Healthcare Goods industries with an excellent understanding of business domains. - Ability to build data pipelines addressing granularity, data gaps, harmonization, and normalization of structured and unstructured data. - Strong interpersonal and communication skills for cross-functional collaboration. Good to have : - Demonstrated expertise in cloud-based data integration techniques (API, stream, file). - Track record of contributing to high-profile projects with demanding deadlines. - Ability to prioritize work items and estimate required effort : - Undergraduate degree in Technology, Computer Science, applied data sciences or other related fields; advanced degree in related fields preferred. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 1/19/2025