Junior Data Engineer_Azure Cloud platform, Databricks,Data factory

Job Description

Dear Candidate , Greetings from ADPMN!! Company profile:ADPMN was incorporated in the year 2019. However, with the undersigneds decades of experience in Software Industry, the network he has cultivated, and his technical expertise, ADPMN is bound to grow steadily and quickly. It provides quality software development services with emphasis on meeting the unique business needs of its clients. it has capacity to provide consulting services for complex projects and it handles its client needs for areas that require information technology expertise. Software and information technology applications have become part of every domain and a competent service provider in this area must have a workforce that has insight into the areas that seek application of the technology to design software, web applications and databases. For More Details: (https://adpmn.com/) Position Overview Job Title: Junior Data Engineer Experience: 4Years 8Years Location: Remote Employment Type: Full-Time Job Summary: We are seeking a highly motivated Junior Data Engineer to join our data engineering team. The ideal candidate will have foundational experience and strong knowledge of Azure cloud services , particularly with Azure Databricks , PySpark , Azure Data Factory , and SQL . You will work closely with senior data engineers and business stakeholders to build, optimize, and maintain data pipelines and infrastructure in a cloud-based environment. Strong knowledge and experience with the below Azure cloud platform Azure Databricks, Pyspark, Azure Data factory, SQL. Key Responsibilities: Design, develop, and maintain scalable ETL/ELT data pipelines using Azure Data Factory and PySpark on Azure Databricks . Collaborate with cross-functional teams to gather and understand data requirements. Implement data transformations, cleansing, and aggregations using PySpark and SQL . Monitor and troubleshoot data workflows and ensure data integrity and availability. Assist in performance tuning of data pipelines and queries. Work with Azure-based data storage solutions such as Data Lake Storage and SQL Databases . Document data flows, pipeline architecture, and technical procedures. Stay updated with the latest Azure and data engineering tools and best practices. Required Skills: Hands-on experience or strong academic understanding of the Azure cloud platform , especially Azure Databricks , Azure Data Factory , and Azure Data Lake . Solid knowledge of PySpark and distributed data processing concepts. Strong proficiency in SQL and database fundamentals. Good understanding of ETL/ELT processes and data pipeline development. Basic understanding of DevOps principles and version control (e.g., Git) is a plus. Excellent analytical, problem-solving, and communication skills. Job Location : Remote Mode of Employment: Permanent to ADPMN (C2H) Experience : 4 Years to 8 years # of Positions:5 Mode: Remote Please free to reach on +91 95425 33666 / rajendrapv@adpmn.com if you need more information! Let me know your interest along with the following details: Full Name : Date of Birth : Total Experience as Data Engineer: Relevant Experience Azure Databricks , Azure Data Factory , and Azure Data Lake : Current Company : Current Pay roll Company If any: Current Location: Current CTC : Expected CTC : Notice Period: