Data Ingestion Jobs

Software Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking two experienced Software Engineers to join our team in Bangalore. This role offers an opportunity to contribute to innovative projects within the IT / Technology industry. Key Responsibilities The specifics of key responsibilities were not provided. This section will be populated with responsibilities as they become available. Required Skills & Qualifications The ideal candidate will possess a strong foundation in software engineering principles and a proven ability to apply them to complex challenges. The following skills and qualifications are essential: SaaS : Demonstrated experience with Software as a Service (SaaS) platforms and architectures. MDM : Familiarity with Mobile Device Management (MDM) principles and technologies. Java : Proficiency in Java programming language, including object-oriented design and implementation. Informatica : Experience with Informatica for data integration and transformation. CDI : Understanding of Customer Data Integration ( CDI ) concepts and methodologies. CAI : Knowledge of Customer Analytics and Intelligence ( CAI ) tools and techniques. CDQ : Experience with CDQ for data quality management and improvement. CLAIRE : Familiarity with CLAIRE , a data science platform. API : Strong understanding of API design and development principles. REST : Proficiency in building and consuming REST ful APIs. Business Entity Modeling : Ability to create and maintain accurate Business Entity Models . Cost-Optimized Design : Experience in designing solutions with a focus on cost optimization. AI-Powered Match & Merge : Knowledge of AI -powered data matching and merging techniques. Ingestion : Experience with data ingestion processes and technologies. Integration : Proven ability to integrate disparate systems and data sources. Data Quality : Strong understanding of Data Quality principles and best practices. Legacy Mapping : Ability to map and understand Legacy systems and data structures. Workflow : Experience in designing and implementing Workflow solutions. Governance : Understanding of data Governance principles and practices. API Management : Experience with API Management platforms and tools. Encryption : Knowledge of data Encryption techniques and best practices. Anonymization : Experience with data Anonymization techniques. Analytical Skills : Strong analytical and problem-solving skills. Problem-Solving Skills : Demonstrated ability to identify and resolve complex technical issues. Communication Skills : Excellent written and verbal Communication Skills . Qualifications: A Bachelor's Degree is required. Experience Required: 10 - 10 years of relevant experience are expected, indicating a senior level of expertise and a proven track record in software engineering. What We Offer Salary: The salary details were not provided.

Azure Cloud & Data ETL Developer

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled and experienced Azure Cloud & Data ETL Developer to join our dynamic IT / Technology team. This is a hybrid role, offering a blend of remote work and in-office collaboration. The ideal candidate will possess a strong background in data engineering, cloud technologies, and ETL/ELT development, with a focus on the Azure ecosystem. Key Responsibilities The Azure Cloud & Data ETL Developer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and solutions within the Azure cloud environment. This includes data ingestion, transformation, and loading processes, ensuring data quality, and adhering to data governance principles. The role also involves collaborating with cross-functional teams to understand data requirements and deliver effective solutions. Required Skills & Qualifications Azure Data Services: Demonstrated proficiency in utilizing various Azure data services, including Azure Data Factory (ADF) , Azure Databricks , and Azure Synapse Analytics , to build and manage data pipelines. ETL Development: Extensive experience in ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) development, including designing and implementing data integration solutions. Hybrid Data Architectures: A strong understanding of hybrid data architectures , enabling seamless data flow between on-premises and cloud environments. Cloud Migration: Experience in migrating data and applications to the Azure cloud platform. Data Engineering: Solid foundation in Data Engineering principles and practices. Data Modeling: Expertise in data modeling techniques, including the design and implementation of star schemas and snowflake schemas . Data Warehousing Concepts: A thorough understanding of data warehousing concepts and best practices. Programming Languages: Proficiency in Python and PySpark for data manipulation and processing. Data Ingestion & Integration: Experience with data ingestion and data integration processes, ensuring data accuracy and consistency. Data Quality & Governance: Knowledge of data quality and data governance principles and practices. DevOps & CI/CD: Experience with DevOps practices, including CI/CD (Continuous Integration/Continuous Delivery) pipelines, utilizing tools like Azure DevOps and GitHub Actions . Agile Methodology: Familiarity with Agile development methodologies. Performance Tuning & Indexing: Ability to perform performance tuning and indexing to optimize data query performance. Data Validation: Experience in implementing data validation processes to ensure data integrity. Azure Data Lake Storage (ADLS): Experience working with Azure Data Lake Storage (ADLS) . Communication Skills: Excellent communication skills , both written and verbal, to effectively collaborate with stakeholders. Problem-Solving Skills: Strong problem-solving skills to identify and resolve data-related issues. Gemini AI: Familiarity with Gemini AI and its applications in data processing. Experience Required: 6 - 10 years of relevant experience in data engineering and cloud development. This level of seniority requires a proven track record of designing and implementing complex data solutions, leading projects, and mentoring junior team members. What We Offer Salary: 18 LPA