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- ...or Cloud. Extensive experience in writing and optimizing complex SQL queries, primarily in Amazon Redshift. Deep understanding of data warehousing concepts, including architecture, design, and implementation. Solid experience with data lake house architecture and its...Data
- ...Informatica IDMC , PostgreSQL , and Oracle PL/SQL , who can thrive in a Linux-based server environment and deliver high-quality data solutions. Key Responsibilities: Utilize Informatica PowerCenter / IDMC for ETL development Develop and maintain complex logic...Data
- ...What You Will Do Let's do this. Let's change the world. In this vital role as Data Engineer at Amgen you will be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This role involves...Data
- ...that meet their needs. Develop and execute test plans for new solutions Oversee and design the information architecture for the data warehouse, including all information structures such as staging area, data warehouse, data marts, and operational data stores. Ability...Data
- ...Key Responsibilities : # Python Development : Design, develop, and maintain Python scripts for data extraction, transformation, and automation. Write and optimize Python code to manipulate, clean, and process large datasets. Develop Python-based automation...Data
- Key deliverables: # Enhance and maintain the MDM platform # Monitor and optimize system performance # Troubleshoot and resolve technical issues # Support production incident resolution Role responsibilities: # Develop and refactor Python and SQL code # Integrate...Data
- Data Engineer2 ommon Skils - SQL, GCP BQ, ETL pipelines using Pythin/Airflow,Experience on Spark/Hive/HDFS,Data modeling for Data conversion Resources (4) Prior experience working on a conv/migration HR project is additional skill needed along with above mentioned skills...Data
- ...Job Summary We are seeking a Sr. Developer with 4 - 11 years of experience in PL/SQL Data Warehousing Concepts Informatica Scheduler ETL SQL Data Integration Informatica PowerCenter and Unix Shell Scripting. The ideal candidate will work in a hybrid model during the day...DataHybrid workDay shift
- ...Key Deliverables : # Build and optimize scalable data pipelines and infrastructure. # Automate data ingestion, transformation, and integration processes. # Collaborate with AI/ML teams to ensure quality data access. # Enhance performance and cost-efficiency in data...Data
- ...Role & responsibilities : Analysis w.r.t to the Data Requirements Document and prepare the Source to Target Mapping based on the business requirements for the Raw Data Vault layer. Collecting, interpreting and Analyzing data. Reporting the results back to the relevant...Data
- ...Job Title: Data Engineer Location: Hyderabad, India Experience: 5 – 8 Years Job Summary We are looking for an experienced Data Engineer with hands-on expertise in Teradata ETL and SQL. The candidate will be responsible for developing, maintaining, and optimizing...Data
- ...Role : Azure Data Architect Exp : 10+yrs Location : Pan India Strong experience architecting and delivering data platforms on Azure Proficiency in Azure services including Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure Databricks ,...Data
- ...Data Engineering Lead Analyst About Evernorth: Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable, and simple health care, we solve the problems others...DataHybrid work
- ...Responsibilities: Data Pipeline Development: Design, build, and maintain efficient and scalable data pipelines to ingest, process, and transform large volumes of data from a variety of sources into data warehouses or data lakes. Architecture & Infrastructure: Develop...Data
- ...Responsibilities: Data Pipeline Design & Build: Design and build robust data pipelines using Spark-SQL and PySpark in Azure Databricks . ETL Pipeline Development: Design and build efficient ETL pipelines using Azure Data Factory (ADF) . Lakehouse Architecture:...DataFull time
- ...This is a remote position. Key Responsibilities: Design and maintain data pipelines using AWS Glue, Python, and SQL . Handle large-scale ETL processes and optimize performance. Participate in hands-on coding challenges during client interviews. Collaborate...DataRemote job
- ...INNOVA Hiring Immediate Joiner For AWS Data Engineer with SCD -1/2 ,AWS, SQL, Pyspark, Python @ Hyderabad, Chennai, Noida. Exp : 5-8 Yrs JD: The role focuses on ETL development, AWS Cloud technologies (Glue, Athena, S3), and Snowflake, with a strong emphasis on PySpark...DataImmediate start
- ...Mandatory Skills : Sql, Snowflake, Python, Matillion and Tableau Snowflake Development: Design and build scalable data models, data pipelines, and ETL/ELT processes within the Snowflake environment. Write and optimize complex SQL queries for performance and data manipulation...Data
- ...Skill Data Engineer PowerBI Band in Infosys 5 Role Technology Lead Qualification B.E/Btech Job Description 6 to 10 years relevant experience and able to fulfill a role of managing delivery, coach team members, and lead 'best practices and procedures. Power-BI, SSRS, Power...Data
- ...Hyderabad Np: Immediate to 1 week Job Description: The ideal candidate for this role should possess a strong background in data analytics, with expertise in Azure Data Factory (ADF) for ETL processes, DAX within Analysis Services for report and dashboard...DataImmediate start
- 1. Cloud & Infrastructure • AWS services : Must be proficient in building scalable data pipelines and managing cloud-native ETL workflows. • Snowflake: Moderate understanding of Snowflake architecture. • CICD - Terraform or CloudFormation, Jenkins ,Bitbucket : For infrastructure...Data
- ~ Developing and maintaining data models that define the structure, relationships, and constraints of data within enterprise data model ~ Creating and implementing data pipelines and ETL processes to move and transform data from various sources into data storage solutions...Data
- ...Key Responsibilities: Collect and analyze business requirements to develop SSIS packages. Analyze existing data in legacy systems, focusing on data cleansing and transformation. Conduct data mapping between source and destination systems. Participate in planning...Data
- ...do Following are high level responsibilities that you will play but not limited to: Analyse Business Requirements. Analyse the Data Model and do GAP analysis with Business Requirements. Design Data Warehouse/Business Intelligence schema. Transformation of Data...Data
- ...Job Summary Data Engineer II perform development activities within a data engineering team and help guide, onboard, and train Data Engineer I. You will work closely with account management, ETL, data warehouse, business intelligence, and reporting teams as you develop data...Data
- ...Data Engineer - Databricks Job Description The Data Engineer - Databricks will be responsible for building and optimizing our data pipelines, architectures, and data sets. He will work closely with data scientists, analysts, and other engineers to support their data needs...Data
- ...Key Responsibilities: Design, build, and maintain data pipelines (ETL/ELT) using BigQuery , Python , and SQL Optimize data flow, automate processes, and scale infrastructure Develop and manage workflows in Airflow/Cloud Composer and Ascend (or similar ETL tools...Data
- ...Job Title: Azure Data Egineer Skills: ETL, Azure data factory, Azure Data Bricks, Data Modelling Experience: 5 - 12 Years Location: Update here Notice Period: Only Immediate Joiners We are looking for a seasoned Senior Data Engineer with strong expertise...DataImmediate start
- ...Key Responsibilities: Design, develop, and optimize scalable data pipelines and ETL processes using Python. Implement and manage data workflows leveraging AWS cloud services (S3, Glue, Redshift, Lambda, EMR, etc.). Build and maintain data models, data lakes,...Data
- ...Key Responsibilities: Design and implement scalable data architectures to support data integration, transformation, and storage. Build and maintain ETL pipelines to extract, transform, and load data from diverse sources into data warehouses or data lakes. Work with...Data
