4 Data Processes Jobs

You are an experienced and highly skilled Senior AWS Data Engineer with over 8+ years of experience, ready to join our dynamic team. Your deep understanding of data engineering principles, extensive experience with AWS services, and proven track record of designing and implementing scalable data solutions make you the ideal candidate for this role. Your key responsibilities will include designing and implementing robust, scalable, and efficient data pipelines and architectures on AWS. You will develop data models and schemas to support business intelligence and analytics requirements, utilizing AWS services such as S3, Redshift, EMR, Glue, Lambda, and Kinesis to build and optimize data solutions. It will be your responsibility to implement data security and compliance measures using AWS IAM, KMS, and other security services, as well as design and develop ETL processes to ingest, transform, and load data from various sources into data warehouses and lakes. Ensuring data quality and integrity through validation, cleansing, and transformation processes, optimizing data storage and retrieval performance through indexing, partitioning, and other techniques, and monitoring and troubleshooting data pipelines for high availability and reliability will also be part of your role. Collaboration with cross-functional teams, providing technical leadership and mentorship to junior data engineers, identifying opportunities to automate and streamline data processes, and participating in on-call rotations for critical systems and services are also expected from you. Your required qualifications, capabilities, and skills include experience in software development and data engineering, with hands-on experience in Python and PySpark. You should have proven experience with cloud platforms such as AWS, Azure, or Google Cloud, a good understanding of data modeling, data architecture, ETL processes, and data warehousing concepts, and experience with cloud native ETL platforms like Snowflake and/or Databricks. Proven experience with big data technologies and services like AWS EMRs, Redshift, Lambda, S3, efficient Cloud DevOps practices, and CI/CD tools like Jenkins/Gitlab for data engineering platforms, as well as good knowledge of SQL and NoSQL databases including performance tuning and optimization, and experience with declarative infra provisioning tools like Terraform, Ansible, or CloudFormation will be valuable assets. Strong analytical skills to troubleshoot issues and optimize data processes, working independently and collaboratively, are also necessary for this role. Preferred qualifications, capabilities, and skills that would be beneficial for this role include knowledge of machine learning model lifecycle, language models, and cloud-native MLOps pipelines and frameworks, as well as familiarity with data visualization tools and data integration patterns.,

Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier, and more comfortable but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments. Klber Lubrication, a company of the Freudenberg Group, is the global leader in specialty lubrication with manufacturing operations in North and South America, Europe, and Asia, subsidiaries in more than 30 different countries, and distribution partners in all regions of the world, supported by our HQs in Germany. We are passionate about innovative tribological solutions that help our customers to be successful. We supply products and services, many of them customized, in almost all industries from automotive to the wind energy markets. Some of your Benefits Diversity & Inclusion: We focus on providing an inclusive environment and recognize our diversity contributes to our success. Health Insurance: Rely on comprehensive services whenever you need it. Personal Development: We offer a variety of trainings to ensure you can develop in your career. Safe Environment: We strive to ensure safety remains a top priority and provide a stable environment for our employees. Sustainability & Social Commitment: We support social and sustainable projects and encourage employee involvement. Bangalore On-Site Klber Lubrication India Pvt. Ltd. You support our team as Statistical Analytics Engineer (F/M/D) Responsibilities Performs projects in statistics, data science, and artificial intelligence in the technical field of KL under the guidance of experts, evaluates, and comments on results. Implements data processes and data products into operations and works on their operation and optimization. Coordinates regularly with experts in statistics, data science, and artificial intelligence at KL. Maintains a balance between effort (time, cost) and expected benefit of incoming requests. Contributes ideas for KL-relevant developments and methods, especially in the field of data analysis and artificial intelligence, and implements them as needed. Supports the improvement and automation of processes/workflows in own & adjacent work areas through statistical methods and evaluations. Works on cross-functional project teams and projects with external partners. Keeps own expertise up to date (self-study, external training, meetings, specialist groups). Supports technical colleagues in the introduction, use, and quality assurance of data analysis tools. Presents contributions to statistics and data science in the context of Klber internal and customer training. Qualifications Engineering Graduate /Masters in Chemistry, Physics, or equivalent degree. Overall 7-10 years of experience in data modeling, analysis, and visualization in manufacturing or industrial environment. Completed higher education in science, focus on chemistry, physics, mathematics, or related discipline. Strong experience in methods for processing, evaluating, and modeling data. In-depth programming knowledge with a focus on data science and data engineering, preferably in Python. Experience using cheminformatics, materials informatics, generative AI, and machine learning. Experience in developing interactive data applications with frameworks like Shiny, Dash, or streamlit. Good knowledge of relational data (SQL), experience in tools like JupyterLab, Gitlab, Airflow, MLFlow, knowledge of chemical analysis and organic chemistry.,

SQL Developer We're looking for a skilled SQL Developer to join our team. In this role, you'll be responsible for developing robust SQL solutions, optimizing database performance, and managing large volumes of data. Role & Responsibilities Develop and maintain high-quality SQL code for various applications and data processes. Perform performance tuning on complex SQL queries, stored procedures, and database structures to ensure optimal efficiency and speed. Effectively handle and manage large volumes of data , ensuring data integrity and accessibility. Collaborate with other developers and teams to understand data requirements and deliver effective database solutions. Troubleshoot and resolve database-related issues promptly. Preferred Candidate Profile Immediate joiners will be preferred.

We are seeking a skilled Duck Creek Distribution Management System (DMS) Developer with strong Java and SQL expertise. You will play a key role in configuring, customizing, and maintaining Duck Creek DMS solutions to streamline insurance distribution operations. Key Responsibilities: Design and implement solutions in Duck Creek DMS Customize and manage producer onboarding, compensation, and hierarchy features Integrate DMS with internal systems using Java and SQL Collaborate with cross-functional teams to gather and implement business requirements Troubleshoot and resolve issues in DMS workflows and data processes Required Skills: 2+ years of experience in Duck Creek DMS Strong knowledge of Java and SQL Good understanding of insurance distribution processes Problem-solving mindset and ability to work independently