4 Etlelt Workflows Jobs

As a Tech Lead, Data Architecture at Fiserv, you will play a crucial role in our data warehousing strategy and implementation. Your responsibilities will include designing, developing, and leading the adoption of Snowflake-based solutions to ensure efficient and secure data systems that drive our business analytics and decision-making processes. Collaborating with cross-functional teams, you will define and implement best practices for data modeling, schema design, and query optimization in Snowflake. Additionally, you will develop and manage ETL/ELT workflows to ingest, transform, and load data from various resources into Snowflake, integrating data from diverse systems like databases, APIs, flat files, and cloud storage. Monitoring and tuning Snowflake performance, you will manage caching, clustering, and partitioning to enhance efficiency while analyzing and resolving query performance bottlenecks. You will work closely with data analysts, data engineers, and business users to understand reporting and analytic needs, ensuring seamless integration with BI Tools like Power BI. Your role will also involve collaborating with the DevOps team for automation, deployment, and monitoring, as well as planning and executing strategies for scaling Snowflake environments as data volume grows. Keeping up to date with emerging trends and technologies in data warehousing and data management is essential, along with providing technical support, troubleshooting, and guidance to users accessing the data warehouse. To be successful in this role, you must have 8 to 10 years of experience in data management tools like Snowflake, Streamsets, and Informatica. Experience with monitoring tools like Dynatrace and Splunk, Kubernetes cluster management, and Linux OS is required. Additionally, familiarity with containerization technologies, cloud services, CI/CD pipelines, and banking or financial services experience would be advantageous. Thank you for considering employment with Fiserv. To apply, please use your legal name, complete the step-by-step profile, and attach your resume. Fiserv is committed to diversity and inclusion and does not accept resume submissions from agencies outside of existing agreements. Beware of fraudulent job postings not affiliated with Fiserv to protect your personal information and financial security.,

As a Data Engineer at our organization, you will play a crucial role in our data team by utilizing your expertise in Python and PySpark to design, develop, and maintain scalable data pipelines and infrastructure. Your responsibilities will involve powering our analytics and machine learning initiatives through the creation of robust and high-performance data workflows. With a minimum of 5 years of experience in data engineering or a related field, you will be expected to design and implement data pipelines using PySpark and Python, develop ETL/ELT workflows for data ingestion, transformation, and loading, and optimize data processing jobs for enhanced performance and cost-efficiency in distributed environments. Collaboration with data scientists, analysts, and business stakeholders to comprehend data requirements will be a key aspect of your role. Ensuring data quality, integrity, and governance across all pipelines, monitoring and troubleshooting production data workflows, and proactively resolving issues will be part of your daily tasks. Leveraging Azure for data storage, processing, and orchestration is essential, along with a strong proficiency in Python for data manipulation and scripting, hands-on experience in PySpark and distributed data processing, and a solid understanding of SQL and relational databases. Additionally, familiarity with data modeling, data warehousing, and performance tuning, as well as experience with version control systems like Git and CI/CD pipelines, will be beneficial in excelling in this role. Join our growing data team and contribute to the transformation of businesses globally through the application of next-generation technology. About Mphasis: Mphasis is dedicated to leveraging cutting-edge technology to drive global business transformations. With a customer-centric approach, Mphasis focuses on providing hyper-personalized digital experiences through cloud and cognitive technologies. The Mphasis Service Transformation approach aids businesses in adapting to a changing world by applying digital technologies across legacy environments. The organization's core reference architectures, tools, and domain expertise facilitate innovation and speed, leading to strong client relationships. Mphasis is an Equal Opportunity Employer committed to providing reasonable accommodations for individuals with disabilities. If you require assistance due to a disability when searching and applying for career opportunities, please contact us at accomodationrequest@mphasis.com with your contact details and the nature of your request.,

As an experienced IICS Developer, you will be responsible for supporting a critical data migration project from Oracle to Snowflake. This remote opportunity requires working night-shift hours to align with the U.S. team. Your primary focus will be on developing and optimizing ETL/ELT workflows, collaborating with architects/DBAs for schema conversion, and ensuring data quality, consistency, and validation throughout the migration process. To excel in this role, you must possess strong hands-on experience with IICS (Informatica Intelligent Cloud Services), a solid background in Oracle databases (including SQL, PL/SQL, and data modeling), and a working knowledge of Snowflake, specifically data staging, architecture, and data loading. Your responsibilities will also include building mappings, tasks, and parameter files in IICS, as well as understanding data pipeline performance tuning to enhance efficiency. In addition, you will be expected to implement error handling, performance monitoring, and scheduling to support the migration process effectively. Your role will extend to providing assistance during the go-live phase and post-migration stabilization to ensure a seamless transition. This position offers the flexibility of engagement as either a Contract or Full-time role, based on availability and fit. If you are looking to apply your expertise in IICS development to contribute to a challenging data migration project, this opportunity aligns with your skill set and availability. The shift timings for this role are from 7:30 PM IST to 1:30 AM EST, allowing you to collaborate effectively with the U.S. team members.,

As a Data Engineer at our company, you will play a crucial role in our data team by designing, building, and maintaining scalable data pipelines and infrastructure using your expertise in Python and PySpark. With a focus on supporting our analytics and machine learning initiatives, you will collaborate with various stakeholders to ensure data quality, integrity, and governance across all pipelines. You should have at least 5 years of experience in data engineering or a related field to excel in this role. Your responsibilities will include developing ETL/ELT workflows, optimizing data processing jobs for performance and cost-efficiency, and monitoring production data workflows to proactively resolve any issues that may arise. Your strong proficiency in Python, hands-on experience with PySpark, and solid understanding of SQL and relational databases will be essential in this position. Additionally, you will leverage Azure for data storage, processing, and orchestration, while also demonstrating familiarity with data modeling, data warehousing, and performance tuning. Experience with version control tools like Git and CI/CD pipelines will be beneficial for ensuring efficient workflow management. Joining our team means being part of a company that applies next-generation technology to help enterprises globally transform their businesses. At Mphasis, we prioritize customer centricity and embrace a Front2Back Transformation approach that leverages cloud and cognitive technologies to deliver hyper-personalized digital experiences. Our commitment to innovation, speed, and specialization enables us to build strong relationships with our clients. Mphasis is an Equal Opportunity Employer and is dedicated to providing reasonable accommodations to individuals with disabilities. If you require assistance or accommodation to pursue a career opportunity with us, please contact us at accomodationrequest@mphasis.com with your contact information and the nature of your request.,