Data Engineer/Senior Engineer - AWS/Azure/Google Cloud Platform

We're Hiring : Senior Data Engineer . Join Our Team!. We are looking for a Senior Data Engineer to lead the charge in building modern data platforms and empowering organizations with data-driven decision-making capabilities. This hands-on role involves designing, implementing, and optimizing cutting-edge data solutions while contributing to our growing data and analytics consulting practice. Key Responsibilities : - Lead client discovery sessions to design state-of-the-art data architectures. - Build scalable and secure data pipelines, warehouses, and databases. - Automate data collection, processing, and reporting for efficiency. - Develop high-quality documentation, from problem statements to designs. - Collaborate in pre-sales activities and contribute to reusable technical collateral. - Stay ahead of technology trends through ongoing training and certifications. - Work with marketing teams to promote our expertise regionally. Qualifications - Must Have :- Bachelor's degree in Computer Science, IT, or related field. - 3-9 years of experience in data engineering, management, and visualization. - Expertise in cloud platforms like AWS, Azure, or GCP. - Proficient in building data pipelines (e.g, Azure Data Factory, AWS Glue). - Strong skills in Apache Spark/Flink/Beam, ETL tools, and orchestration tools (e.g, Airflow). - Programming experience in Python, Java, or Scala. - Deep knowledge of RDBMS, NoSQL, and open-source data formats (e.g, Iceberg, Delta Lake). - Hands-on experience with visualization tools (e.g, Tableau, Power BI). - Familiarity with Docker, Kubernetes, and Git. Nice to Have : - Data engineering or cloud certifications. - Experience with data governance tools like Collibra or Alation. - Exposure to ML algorithms, AI, and LLM implementations. - Legacy systems knowledge (e.g, Hadoop, Informatica). (ref:hirist.tech)