ROLES RESPONSIBILITIES Job Profile Summary In this role you will support the Data Engineering team in setting up the Data Lake on Cloud and the implementation of standardized Data Model You will develop data pipelines for new sources data transformations within the Data Lake CI CD and data delivery as per the business requirements Build pipelines to bring in wide variety of data from multiple sources within the organization as well as from social media and public data sources Collaborate with cross functional teams to source data and make it available for downstream consumption Work with the team to provide an effective solution design to meet business needs Ensure regular communication with key stakeholders understand any key concerns in how the initiative is being delivered or any risks issues that have either not yet been identified or are not being progressed Ensure dependencies and challenges risks are escalated and managed Escalate critical issues to the Sponsor and or Head of Data Engineering Ensure timelines milestones decisions and delivery are managed and value of initiative is achieved without compromising quality and within budget Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery both internal and external Ensure final handover of initiative to business as usual processes carry out a post implementation review as necessary to ensure initiative objectives have been delivered and any lessons learned are fed into future initiative management processes Who we are looking for Competencies Personal Traits Work as a team player Excellent problem analysis skills Excellent in the Azure Databricks platform Experience with at least one Cloud Infra provider Azure AWS Experience in building data pipelines using batch processing with Apache Spark Spark SQL Dataframe API Knowledge of Big data ETL processing tools Basic knowledge of scripting shell bash Experience of working with multiple data sources including relational databases SQL Server Oracle DB2 Netezza NoSQL document databases flat files Basic understanding of CI CD tools such as Jenkins JIRA Bitbucket Artifactory Bamboo and Azure Dev-ops Basic understanding of DevOps practices using Git version control Ability to debug fine tune and optimize large scale data processing jobs Working Experience 1-3 years of broad experience of working with Enterprise IT applications in cloud platform and big data environments Skilled Qualifications Certifications related to Data and Analytics would be an added advantage Education Master bachelor s degree in STEM Science Technology Engineering Mathematics Language Fluency in written and spoken English EXPERIENCE 4 5-6 Years SKILLS Primary Skill Data Engineering Sub Skill s Data Engineering Additional Skill s ETL Databricks Apache Spark Azure Data Factory

📌 Azure Data Engineer (standard) (Maharashtra)
🏢 Infogain
📍 Maharashtra