924 Elt Jobs - Page 8

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse, Data Engineering Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Snowflake Sr. Data Engineer, you will build scalable, secure, and high-performance Snowflake pipelines across multiple projects and teams. Your typical day will involve collaborating with Team Leads to ens...

About The Role Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Microsoft Fabric Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will develop and configure software systems, either end-to-end or for specific stages of the product lifecycle. Your typical day will involve collaborating with various teams to ensure t...

Key Responsibilities Lead and deliver data-related product implementation. Lead and execute business data projects. Lead and mentor Teams. Direct the implementation of Data Cloud technologies (Azure/Snowflake/Data Bricks/ Data Science S/w Hub) using industry best practices. Develop, document, maintain and support elegant data solutions Develop documentation of the data architecture, flow, and warehouse models. Provide resolution to complex data pipeline-related problems. Deploy Snowflake features such as data sharing, events, and lake-house patterns. Leverage Snowflake utilities such as SnowSQL, SnowPipe, and Big Data modeling techniques using Python. Manage Azure services such as ADLS, Azur...

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you ready to embark on an exhilarating journey as a Data Consultant? Join Kyndryl and become a driving force behind the transformative power of data! We're seeking an exceptionally talented individual to accelerate the competitive performance of our customers worldwide, establishing us as their unrivaled business and technology consulting p...

As a Quality Engineer/tester work with client and IBM stakeholders to identify various business controls for client and work with respective IBM and client to ensure successful implementation of controls identified. Your primary responsibilities include: Software Tester at AT&T for BGWIOT - Microservices and Databricks;Production Support Analyze test specifications and convert them into Manual/Auto Test Cases. Identify the initial setup, input data, appropriate steps, and the expected response in the manual test cases. Conduct sanity testing of the application based on user requirements. Involve in writing test cases based on the user stories. Wrote positive, negative, regression test cases ...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education SUMMARY:We are looking for a technical enthusiast with strong expertise in Python and a solid understanding of AI/ML concepts to contribute to the de...

About The Role Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education SUMMARY:We are looking for a technical enthusiast with strong expertise in Python and a solid understanding of AI/ML concepts to contribute to the de...

Design, develop, optimize scalable data pipelines using Azure Data Factory (ADF) Build maintain ETL/ELT workflows for structured and unstructured data Leverage Azure Databricks for big data processing, analytics, and machine learning integration Required Candidate profile Work with Azure Synapse Analytics, Cosmos DB, Azure Data Lake Storage to deliver high-performing data solutions Apply data warehousing concepts, dimensional modeling, best practices for performance Perks and benefits Perks and Benefits

Role Proficiency: This role requires proficiency in developing data pipelines including coding and testing for ingesting wrangling transforming and joining data from various sources. The ideal candidate should be adept in ETL tools like Informatica Glue Databricks and DataProc with strong coding skills in Python PySpark and SQL. This position demands independence and proficiency across various data domains. Expertise in data warehousing solutions such as Snowflake BigQuery Lakehouse and Delta Lake is essential including the ability to calculate processing costs and address performance issues. A solid understanding of DevOps and infrastructure needs is also required. Outcomes: Act creatively ...

Notice Period-Immediate Joiner or Max 10 days (Do not share long notice period profile.) Permanent Payroll - Anlage Infotech Client - NTT DATA Location- Remote (Just to meet the compliance, candidate have to visit 1 day in a month to the office). Role & responsibilities Description: Total Experience in Years : 8+ Years Shift timing : Second shift (till 11pm IST) this is to enable few hours of overlapping with EST hour client Primary must have skill : HRIS experience or knowledge i.e. HRIS consulting, implementation, or administration (preferrable Workday, but other HRIS systems will do too) Basic Skills : SQL , Python, AWS or other cloud. Other skills : DBT, Snowflake Job Duties: Key Respons...

As a Dataops Engineer, you will play a crucial role in the data engineering and DataOps processes. Your responsibilities will include: - Bachelor's degree in Computer Science, Information Systems, or a related field. - 5-10 years of experience in Data Engineering or DataOps roles. - Strong hands-on experience with ADF, ADLS, Snowflake, Azure DevOps, or similar CI/CD platforms. - Proficient in SQL and scripting languages such as Python. - Solid understanding of ETL/ELT concepts and data warehousing. - Experience with source control (e.g., Git) and infrastructure as code (e.g., ARM templates, Terraform). - Knowledge of data security best practices in cloud environments. Your qualifications sho...

As a Senior Analyst - Data Engineering at EY-Strategy and Transactions - SaT DnA, you will play a crucial role in supporting cloud and on-prem platform analytics and data engineering projects across engagement teams. Your primary responsibilities will involve conceptualizing, designing, developing, deploying, and maintaining complex technology solutions to solve business problems for clients. You will work closely with technical architects, product and business subject matter experts, back-end developers, and solution architects, contributing to the design, development, and evolution of modern data warehousing solutions and data integration build-outs using cutting-edge tools and platforms f...

As a Sr. Azure Data Engineer, you will be responsible for the following: - Advance SQL - Azure Data Factory (ADF) - Databricks with PySpark - Azure Synapse (added advantage) You should be fully conversant with big-data processing approaches and schema-on-read methodologies. Knowledge of Azure Data Factory, Azure Databricks (PySpark), and Azure Data Lake Storage (ADLS Gen 2) is essential. It is good to have excellent development skills along with extensive hands-on development and coding experience in languages such as Python (compulsory PySpark), SQL, and Power BI DAX. Experience in implementing robust ETL / ELT pipelines within Azure Data Factory and Azure Synapse Pipelines is required. Fam...

1.Data Pipeline Devlopment and maintainance 2.Database and Data Warehouse Management 3.data Transformation and Integration https://docs.google.com/spreadsheets/d/1dTIagGAwtsK_iZwlVS1fN3d_ZXfYqyFgjuOba1hhUtc/edit?gid=1273277659#gid=1273277659 Required Candidate profile https://docs.google.com/spreadsheets/d/1dTIagGAwtsK_iZwlVS1fN3d_ZXfYqyFgjuOba1hhUtc/edit?gid=1273277659#gid=1273277659

Key Responsibilities: Design, develop, and maintain ETL/ELT pipelines and data models using Snowflake and Python. Write efficient SQL queries, stored procedures, and scripts for data extraction, transformation, and loading. Develop Python-based applications or scripts for automation, data ingestion, and integration with Snowflake. Implement data quality checks, performance tuning, and cost optimization within the Snowflake environment. Integrate Snowflake with cloud platforms (AWS, Azure, or GCP) and third-party data sources. Collaborate with data engineers, analysts, and business teams to understand data requirements and deliver solutions. Monitor, troubleshoot, and optimize data pipelines ...

Develop and Implement Data Quality Checks: Work with Data Engineers and Business Analysts to define, create, and implement data quality rules and validation checks at various stages of our ETL/ELT pipelines. Monitor and Report on Data Quality: Proactively monitor the health of our data pipelines and datasets. Develop and maintain data quality dashboards (using tools like Power BI or Tableau) to provide clear visibility into data accuracy, completeness, and timeliness. Investigate and Resolve Data Issues: Act as the first line of defense for data-related issues. Investigate data anomalies, perform root cause analysis to identify the source of errors, and collaborate with the engineering team ...

We are looking for a skilled Data Engineer with 7 to 10 years of experience to join our team in Bangalore, Hyderabad, Chennai, and Pune. The ideal candidate will have expertise in data engineering, Azure cloud, Snowflake, and Snowflake ELT methodologies. Roles and Responsibility Design and develop scalable data pipelines using Azure cloud and Snowflake. Implement ETL processes on Azure and manage data management tasks. Develop automation scripts using Python, Scala, or other languages. Collaborate with cross-functional teams to ensure seamless data integration. Ensure data integrity and accuracy during migration efforts. Optimize data processing workflows for improved efficiency. Job Require...

We are looking for a skilled Hadoop professional with 7-14 years of experience to join our team in Pune and Hyderabad. The ideal candidate will have expertise in Hadoop, Spark, Kafka, Data Visualization, scripting languages in Python and R, SQL and NoSQL, Agile methodology, ETL / ELT data pipelines. Roles and Responsibility Design and develop scalable Hadoop applications using Spark and Kafka. Create data visualizations using tools like Splunk, Qlik, and Grafana. Develop and maintain ETL/ELT data pipelines using Agile methodology. Collaborate with cross-functional teams to identify and prioritize project requirements. Troubleshoot and resolve technical issues related to Hadoop applications. ...

As a Data Management Lead at our client's R&D team in Kolkata, you will have the opportunity to play a crucial role in developing and maintaining data management related modules. With your 10-15 years of experience in data management, you will drive the design, development, and deployment of cutting-edge products at the intersection of GenAI and data transformation. Your responsibilities will include: - Driving the design, development, and deployment of data management and storage related modules in the product. - Overseeing data architecture and integration processes across modules. - Enabling real-time and batch ETL and ELT processes to ensure data quality, performance, and optimal usage o...

We are looking for a skilled Sr. Data Engineer with 12 to 17 years of experience to join our team in Bangalore, Hyderabad, Chennai, and Pune. Roles and Responsibility Design and develop scalable data pipelines using Public Cloud and Azure cloud technologies. Implement Snowflake ELT methodologies, including Snowpark, streams, and tasks. Develop and maintain ETL processes on Azure, ensuring data quality and integrity. Collaborate with cross-functional teams to design and implement data management solutions. Automate data processing tasks using Python, Scala, or other programming languages. Ensure compliance with industry standards and best practices for data engineering. Job Requirements Stron...

Key Responsibilities : Design, develop, and maintain scalable data pipelines using modern ETL/ELT tools and frameworks Implement efficient data models and warehousing solutions to support business intelligence initiatives Write high-quality, documented code for data integration, transformation, and automation Design and optimize database schemas and query performance Develop and maintain data quality monitoring systems and procedures Implement data governance practices and ensure data security compliance Troubleshoot complex data pipeline issues and performance bottlenecks Collaborate with stakeholders to gather requirements and translate them into technical specifications Create and maintai...

Dear Candidates, Role & responsibilities We are looking for a Data Engineer with strong skills in AWS and data engineering tools to support and monitor our data pipelines and systems. The candidate will be responsible for monitoring, troubleshooting, and ensuring smooth execution of ETL/ELT workflows. Key Responsibilities Monitor and maintain AWS services like Redshift, S3, RDS, CloudWatch, AppFlow, EMR, Glue, and DMS. Monitor, schedule, and troubleshoot data workflows in Airflow. Ensure smooth execution of ETL/ELT jobs. Work with SQL and Python for data validation and troubleshooting. Raise alerts and coordinate with teams in case of failures. Required Skills Hands-on experience with AWS (R...

What youll do : Work with business stakeholders to understand their business needs. Create data pipelines that extract, transform, and load (ETL) from various sources into a usable format in a Data warehouse. Clean, filter, and validate data to ensure it meets quality and format standards. Develop data model objects (tables, views) to transform the data into unified format for downstream consumption. Expert in monitoring, controlling, configuring, and maintaining processes in cloud data platform. Optimize data pipelines and data storage for performance and efficiency. Participate in code reviews and provide meaningful feedback to other team members. Provide technical support and troubleshoot...

Job Title: Senior Data Engineer Location: Hyderabad(Client Office) Job Type: Fulltime Years of Experience 5-8 years About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & ...

What youll do : Collaborate with ZS internal teams and client teams to shape and implement high quality technology solutions that address critical business problems Develop a deep understanding of the business problems and effectively translate them into technical designs Lead modules and workstreams within projects while participating in hands on implementation Work with technical architects to validate the technical design and implementation approach Apply appropriate development methodologies and best practices to ensure exceptional client and project team experience Support the project lead in project delivery, including project planning, people management, staffing, and risk mitigation ...