We are looking forward to hire the services of " Splunk Developer " This is full time remote contract position . Initial contract will be offered for 3 months. You may need to provide few hours of overlapping time with US timezone . You may need to go through the background verification process in which your claimed experience, education certificates and references given will be verified. So pls don't apply if you are not comfortable to go through this verification process. This is client facing role hence excellent communication in English language is MUST . Min. Experience : 5+ years Role Description This is a full-time remote role for a Splunk Developer. The Splunk Developer will be responsible for developing, configuring, and maintaining Splunk systems. Day-to-day tasks include creating Splunk queries, developing dashboards and alerts, and optimizing performance for SPL (Search Processing Language) searches. This role requires working closely with other IT teams to ensure seamless integration of Splunk solutions with other enterprise systems. Qualifications Proficiency in Splunk, including development, configuration, and maintenance Experience with creating Splunk queries, dashboards, and alerts Knowledge of optimizing performance for SPL searches Strong understanding of data indexing, parsing, and ingestion Excellent analytical and problem-solving skills Strong communication and collaboration skills, capable of working remotely Experience with integrating Splunk solutions in enterprise environments is a plus Bachelor's degree in Computer Science, Information Technology, or related field

This is full time remote contract position. You may need to provide few hours of overlapping time with US timezone . You may need to go through the background verification process in which your claimed experience, education certificates and references given will be verified. So pls don't apply if you are not comfortable to go through this verification process. This is client facing role hence excellent communication in English language is MUST . Min. Experience : 5+ years About role : Our client is about to start an ERP replacement. They plan to move away from the AWS platform and move to an Azure data lake feeding Snowflake. We need a resource who can be Snowflake thought leader and having Microsoft azure data engineering expertise. Key Responsibilities: Data Ingestion & Orchestration (Transformation & Cleansing) : o Design and maintain Azure Data Factory (ADF) pipelines : Extract data from sources like ERPs (SAP, Oracle), UKG, SharePoint, and REST APIs. o Configure scheduled/event-driven loads : Set up ADF for automated data ingestion. o Transform and cleanse data : Develop logic in ADF for Bronze-to-Silver layer transformations. o Implement data quality checks : Ensure accuracy and consistency. · Snowflake Data Warehousing: o Design/optimize data models: Create tables, views, and stored procedures for Silver and Gold layers. o ETL/ELT in Snowflake: Transform curated Silver data into analytical Gold structures. o Performance tuning: Optimize queries and data loads. Design, develop, and optimize data models within Snowflake, including creating tables, views, and stored procedures for both Silver and Gold layers. o Implement ETL/ELT processes within Snowflake to transform curated data (Silver) into highly optimized analytical structures (Gold) Data Lake Management: o Implement Azure Data Lake Gen2 solutions : Follow medallion architecture (Bronze, Silver). o Manage partitioning, security, governance: Ensure efficient and secure data storage. · Collaboration & Documentation: Partner with stakeholders to convert data needs into technical solutions, document pipelines and models, and uphold best practices through code reviews. Monitoring & Support: Track pipeline performance, resolve issues, and deploy alerting/logging for proactive data integrity and issue detection. · Data visualization tools : Proficient in like Power BI, DAX, and Power Query for creating insightful reports. Skilled in Python for data processing and analysis to support data engineering tasks. Required Skills & Qualifications: Over 5+ years of experience in data engineering, data warehousing, or ETL development. Microsoft Azure proficiency: Azure Data Factory (ADF): Experience in designing, developing, and deploying complex data pipelines. Azure Data Lake Storage Gen2: Hands-on experience with data ingestion, storage, and organization. Expertise in Snowflake Data Warehouse and ETL/ELT: Understanding Snowflake architecture. SQL proficiency for manipulation and querying. Experience with Snowpipe, tasks, streams, and stored procedures. Strong understanding of data warehousing concepts and ETL/ELT principles. Data Formats & Integration : Experience with various data formats (e.g., Parquet, CSV, JSON) and data integration patterns. Data Visualization: Experience with Power BI, DAX, Power Query. Scripting: Python for data processing and analysis. Soft Skills: Problem-solving, attention to detail, communication, and collaboration Nice-to-Have Skills : Version control (e.g., Git), Agile/Scrum methodologies and Data governance and security best practices.