469 Etl Pipelines Jobs - Page 9

We are seeking a Business Analyst specialized in Revenue Cycle Management (RCM) analytics, data quality, and business decision support. This role is critical in transforming raw healthcare financial data into clean, consistent, and decision-driving analytics . Key Responsibilities: Data Quality & Dashboard Accuracy Own the accuracy and consistency of operational and financial dashboards (Power BI / Tableau / Excel). Perform root cause analysis of data mismatches, anomalies, and KPI discrepancies . Define, document, and enforce KPI calculation standards across departments and systems. Work closely with technical teams to manage ETL pipelines and data transformations for RCM reporting. Develop...

Manage ETL pipelines, data engineering operations, and cloud infrastructure Experience in configuring data exchange and transfer methods Experience in orchestrating ETL pipelines with multiple tasks, triggers, and dependencies Strong proficiency with Python and Apache Spark; intermediate or better proficiency with SQL; experience with AWS S3 and EC2, Databricks Ability to communicate efficiently and translate ideas with technical stakeholders in IT and Data Science Passionate about designing data infrastructure and eager to contribute ideas to help build robust data platforms

Job Title: Data Engineer Job Type: Full-time Department: Data Engineering / Data Science Reports To: Data Engineering Manager / Chief Data Officer About the Role: We are looking for a talented Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and systems that process and store large volumes of data. You will collaborate closely with data scientists, analysts, and business stakeholders to deliver high-quality, actionable data solutions. This role requires a strong background in data engineering, database technologies, and cloud platforms, along with the ability to work in an Agile environment to drive dat...

As a Data Engineer at our company, you will be responsible for designing and implementing Azure Synapse Analytics solutions for data processing and reporting. Your role will involve optimizing ETL pipelines, SQL pools, and Synapse Spark workloads to ensure efficient data processing. It will also be crucial for you to uphold data quality, security, and governance best practices while collaborating with business stakeholders to develop data-driven solutions. Additionally, part of your responsibilities will include mentoring a team of data engineers. To excel in this role, you should have 6-10 years of experience in Data Engineering, BI, or Cloud Analytics. Your expertise in Azure Synapse, Azur...

En tant que Data Product Owner Senior, vous serez responsable de la prparation, de la coordination et du suivi de la ralisation de projets axs sur la data et l'intelligence artificielle. Votre rle consistera assurer la conception et la livraison de solutions innovantes et axes sur les donnes, en collaboration avec les quipes techniques, les quipes mtier et les clients. Vos principales responsabilits incluront le cadrage des besoins en matire de data et IA, la dfinition des spcifications fonctionnelles, le suivi de la conception et du dveloppement, la gestion de projet agile et l'assurance de la qualit et des performances des solutions livres. Vous serez galement le point de contact privilgi ...

You are a Gen AI Senior Software Engineer with over 5 years of experience, specializing in Generative AI and Large Language Models (LLMs). Your main responsibility is to design, develop, and implement GenAI solutions tailored to address business challenges, utilizing your expertise in Python for AI/ML solutions. Your key technical skills include proficiency in Python programming, hands-on experience in Retrieval-Augmented Generation (RAG) and familiarity with Vector Databases. It would be beneficial if you have experience in React.js and are open to learning new skills and technologies. In this role, you will be responsible for designing and implementing scalable GenAI solutions using Python...

You are an experienced Azure Databricks Engineer who will be responsible for designing, developing, and maintaining scalable data pipelines and supporting data infrastructure in an Azure cloud environment. Your key responsibilities will include designing ETL pipelines using Azure Databricks, building robust data architectures on Azure, collaborating with stakeholders to define data requirements, optimizing data pipelines for performance and reliability, implementing data transformations and cleansing processes, managing Databricks clusters, and leveraging Azure services for data orchestration and storage. You must possess 5-10 years of experience in data engineering or a related field with e...

Job Title: Data Engineer Job Type: Full-time Department: Data Engineering / Data Science Reports To: Data Engineering Manager / Chief Data Officer About the Role: We are looking for a talented Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and systems that process and store large volumes of data. You will collaborate closely with data scientists, analysts, and business stakeholders to deliver high-quality, actionable data solutions. This role requires a strong background in data engineering, database technologies, and cloud platforms, along with the ability to work in an Agile environment to drive dat...

Job Title: Data Engineer Job Type: Full-time Department: Data Engineering / Data Science Reports To: Data Engineering Manager / Chief Data Officer About the Role: We are looking for a talented Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and systems that process and store large volumes of data. You will collaborate closely with data scientists, analysts, and business stakeholders to deliver high-quality, actionable data solutions. This role requires a strong background in data engineering, database technologies, and cloud platforms, along with the ability to work in an Agile environment to drive dat...

Job Title: Data Engineer Job Type: Full-time Department: Data Engineering / Data Science Reports To: Data Engineering Manager / Chief Data Officer About the Role: We are looking for a talented Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines and systems that process and store large volumes of data. You will collaborate closely with data scientists, analysts, and business stakeholders to deliver high-quality, actionable data solutions. This role requires a strong background in data engineering, database technologies, and cloud platforms, along with the ability to work in an Agile environment to drive dat...

We at Blackstraw.ai. are organizing a Walk-in Interview Drive for Data Engineers with minimum 3 years exp in Data Engineer Data Engineer Mini 3 Years Exp in Python, Spark, PySpark, Hadoop, Hive, Snowflake , AWS , Databricks We are looking for a Data Engineer to join our team. You will use various methods to transform raw data into useful data systems. You'll strive for efficiency by aligning data systems with business goals. To succeed in this position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and an understanding of machine learning methods. If you are det...

Role & responsibilities Key Responsibilities: Lead Data Engineering Projects: Oversee the development and deployment of end-to-end data ingestion pipelines using Azure Databricks, Apache Spark, and related technologies, ensuring scalability, performance, and efficiency. Design & Architecture: Design high-performance, resilient, and scalable data architectures for data ingestion and processing using best practices for Azure Databricks and Spark. Team Leadership: Provide technical guidance and mentorship to a team of data engineers, fostering a culture of collaboration, continuous learning, and innovation. Collaboration: Work closely with data scientists, business analysts, and other stakehold...

Role Purpose: The Senior Data Engineer will support and enable the Data Architecture and the Data Strategy. Supporting solution architecture and engineering for data ingestion and modelling challenges. The role will support the deduplication of enterprise data tools, working with the Lonza Data Governance Board, Digital Council and IT to drive towards a single Data and Information Architecture. This will be a hands-on engineering role with a focus on business and digital transformation. The role will be responsible for managing and maintain the Data Architecture and solutions that deliver the platform at with operational support and troubleshooting. The Senior Data Engineer will also manage ...

As an experienced Data & Analytics Project Manager, you will play a crucial role in leading end-to-end execution of data and analytics projects. Your expertise in data integration, analytics, and cloud platforms such as AWS and Azure will be essential in ensuring seamless delivery. Collaborating with cross-functional teams, driving innovation, and optimizing data-driven decision-making will be key responsibilities in this role. Our projects utilize a variety of technologies including internal custom-built solutions, packaged software, ERP solutions, data warehouses, Software as a Service, cloud-based solutions, and BI tools. You will be responsible for leading project teams from initiation t...

Job title: Senior Software Engineer Experience: 5- 8 years Primary skills: Python, Spark or Pyspark, DWH ETL. Database: SparkSQL or PostgreSQL Secondary skills: Databricks ( Delta Lake, Delta tables, Unity Catalog) Work Model: Hybrid (Weekly Twice) Cab Facility: Yes Work Timings: 10am to 7pm Interview Process: 3 rounds (3rd round F2F Mandatory) Work Location: Karle Town Tech Park Nagawara, Hebbal Bengaluru 560045 About Business Unit: The Architecture Team plays a pivotal role in the end-to-end design, governance, and strategic direction of product development within Epsilon People Cloud (EPC). As a centre of technical excellence, the team ensures that every product feature is engineered to m...

To Apply - Mandatory to submit Details via Google Form - https://forms.gle/cCa1WfCcidgiSTgh8 Position : Senior Data Engineer - Total 8+ years Required Relevant 6+ years in Databricks, AWS, Apache Spark & Informatica (Required Skills) As a Senior data Engineer in our team, youll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations Seeking experienced data Engineer to design, implement, and maintain robust data pipelines and analytics solutions using databricks & AWS services. The ideal candidate will have a strong background in data services, big data technologies, and programming languages. Role & responsibilities Technical ...

The responsibilities of the role involve designing and implementing Azure Synapse Analytics solutions for data processing and reporting. You will be required to optimize ETL pipelines, SQL pools, and Synapse Spark workloads while ensuring data quality, security, and governance best practices are followed. Collaborating with business stakeholders to develop data-driven solutions and mentoring a team of data engineers are key aspects of this position. To excel in this role, you should possess 6-10 years of experience in Data Engineering, BI, or Cloud Analytics. Expertise in Azure Synapse, Azure Data Factory, SQL, and ETL processes is essential. Experience with Fabric is strongly desirable. Str...

As a GCP Data Engineer in Australia, you will be responsible for leveraging your experience in Google Cloud Platform (GCP) to handle various aspects of data engineering. Your role will involve working on data migration projects from legacy systems such as SQL and Oracle. You will also be designing and building ETL pipelines for data lake and data warehouse solutions on GCP. In this position, your expertise in GCP data and analytics services will be crucial. You will work with tools like Cloud Dataflow, Cloud Dataprep, Apache Beam/Cloud composer, Cloud BigQuery, Cloud Fusion, Cloud PubSub, Cloud storage, and Cloud Functions. Additionally, you will utilize Cloud Native GCP CLI/gsutil for opera...

As a Project Manager specializing in Data & Analytics, you will play a crucial role in transforming data into valuable business insights. Your primary responsibility will involve leading impactful data-driven projects spanning various business domains. Your key tasks will include driving project delivery in data engineering, business intelligence (BI), and analytics, ensuring alignment among technical and business teams, managing scope, risks, and milestones in an Agile setting, and translating business objectives into measurable data outcomes. Monitoring key performance indicators (KPIs), return on investment (ROI), and ensuring timely, high-quality project delivery will also be part of you...

As a Data Engineer at IBM, you'll play a vital role in the development, design of application, provide regular support/guidance to project teams on complex coding, issue resolution and execution. Your primary responsibilities include: Lead the design and construction of new solutions using the latest technologies, always looking to add business value and meet user requirements. Strive for continuous improvements by testing the build solution and working under an agile framework. Discover and implement the latest technologies trends to maximize and build creative solutions Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Ex...

Hiring for Azure Data Engineer for our MNC company Role: Azure date Engineer Exp: 6 - 9 Years Job Location: Bangalore / Hyderabad / Bhubaneshwar Notice period: Immediate - 30 days Work Mode: Work from Office ( 5 days ) Job Description: Azure Data Engineer Technical Stacks: Minimum 5-6 years of hands-on experience in ETL pipeline using Azure Data factory /Azure synapse 3-4 weeks of notice period Average to excellent communication skill and has experience of managing client delivery independently. Essential Skills: Minimum 5-6 years of hands-on experience in ETL pipeline using Azure Data factory /Azure synapse 3-4 weeks of notice period Average to excellent communication skill and has experien...

As a BI Engineer at DoorDash, you will play a crucial role in building and scaling data models, pipelines, and self-service analytics for the Finance, Legal, and Public Relations teams. Your responsibilities will include collaborating with business partners and stakeholders to understand diverse data requirements, working with engineering and product teams to collect necessary data, and designing and implementing large-scale, high-performance data models and pipelines. You will focus on developing ETL pipelines, delivering insightful reports, and building dashboards to meet the evolving business needs of DoorDash. Additionally, you will be responsible for implementing data quality checks, co...

You will be responsible for preparing data, developing models, testing them, and deploying them. This includes designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Your role will involve ensuring that algorithms generate accurate user recommendations. Additionally, you will work on turning unstructured data into useful information by auto-tagging images and converting text to speech. Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks will be part of your daily tasks. Your responsibilities will also include developing machine learning algorithms to analyze l...

Role & responsibilities: Design and implement scalable data pipelines for feature extraction, transformation, and loading (ETL) using technologies such as Pyspark, Scala, and relevant big data frameworks. Govern and optimize data pipelines to ensure high reliability, efficiency, and data quality across on-premise and cloud environments. Collaborate closely with data scientists, ML engineers, and business stakeholders to understand data requirements and translate them into technical solutions. Implement best practices for data governance, metadata management, and compliance with regulatory requirements. Lead a team of data engineers, providing technical guidance, mentorship, and fostering a c...

Role & responsibilities Hands on in Python Scripting Data engineering with Python (Experience in Pandas and Numpy) Hands on experience in ETL with Python. Good to have API experience , Framework (Django or Flask) Familiarity with Agile/Scrum methodologies Preferred candidate profile