Total Years of Experience: 10+ years. Relevant Years of Experience: 10+ years in data engineering or related roles. Mandatory Skills: • SQL • Python • Big data technologies (Apache Spark, Hadoop) • Data pipeline orchestration tools (Airflow or equivalent) • Cloud platforms (AWS, Azure, GCP) • Data warehousing solutions (Snowflake, Redshift, BigQuery) Alternate Skills: • Real-time data processing frameworks (Kafka, Flink) • Data architecture and modeling • DevOps practices and CI/CD pipelines. Good to Have (Not Mandatory): • Prior experience mentoring or leading engineering teams • Knowledge of data governance and security best practices • Familiarity with software engineering collaboration (code reviews, design discussions). Detailed Job Description: Lead the design, development, and optimization of complex data solutions using Python, Spark, SQL, Snowflake, dbt, machine learning, and other relevant technologies. Apply deep domain expertise in operations organizations, particularly infunctions like supply chain, product life cycle management, and manufacturing, to understand data requirements and deliver tailored solutions. Utilize big data processing frameworks such as Apache Spark to process and analyze large volumes of operational data efficiently. Implement advanced data modeling, machine learning algorithms, and predictive analytics to derive actionable insights and drive operational decision¬ making. Leverage cloud-based data platforms such as Snowflake to store, manage, and analyze structured and semi-structured operational data at scale. Utilize dbt (Data Build Tool) for data modeling, transformation, and documentation to ensure data consistency, quality, and integrity. Monitor and optimize complex data pipelines, ETL processes, and machine learning models for performance, scalability, and reliability in operations contexts. Conduct data profiling, cleansing, and validation to ensure data quality and integrity across different operational data sets. Collaborate closely with cross-functional teams, including operations stakeholders, data scientists, business analysts, and IT teams, to understand operational challenges and deliver actionable insights. Stay updated on emerging technologies, best practices, and industry trends in data engineering, machine learning, and operations management, contributing to continuous improvement and innovation within the organization. Location: Bangalore. Resource should be available for F2F Interview in IBM locationbased on account request and Day 1 reporting post OB. RTH-Y. - U2XJNK