IT Engineer - Data Analytics

As noted above, this list is intended to reflect the current job, but there may be additional functions that are not referenced. Management will modify the job or require other tasks to be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations, including any collective bargaining : - Work closely with source data application teams and product owners to design, implement, and support analytics solutions that provide insights to make better decisions. - Implement data migration and data engineering solutions using Azure products and services : (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc. ) and traditional data warehouse tools. - Perform multiple aspects involved in the development lifecycle - design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, and prod support. - Provide technical leadership and collaborate within a team environment, as well as work independently. - Be a part of a DevOps team that completely owns and supports its product. - Implement batch and streaming data pipelines using cloud technologies. - Leads development of coding standards, best practices, and privacy and security guidelines. - Mentors others on technical and domain skills to create multi-functional teams. Requirements : - Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or related technical discipline, or equivalent experience/training. - 3 years of software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions. - 3 years of data analytics experience using SQL. - 3 years of cloud development and data lake experience (prefer Microsoft Azure), including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Power BI. - 5 years of software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions. - 5 years of data analytics experience using SQL. - 3 years full-stack development experience, preferably in Azure. - 3 years of cloud development and data lake experience (prefer Microsoft Azure), including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Power BI. - Airline Industry Experience. - 3 years of Teradata Vantage development and administration. Skills, Licenses & Certifications : - Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curating, and creating consumption layers. - Expertise in providing practical direction within the Azure Native cloud services. - Azure Development Track Certification (preferred). - Spark Certification (preferred). Combination of Development, Administration & Support experience in several of the following tools/platforms required : - Scripting : Python, Spark, Unix, SQL. - Data Platforms : Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake. - Azure Data Explorer. Administration skills are a plus. - Azure Cloud Technologies : Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps, and Azure Functions. - CI/CD : GitHub, Jenkins, Azure DevOps, Terraform. - BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana. - Data Governance and Privacy : Alation, Monte Carlo, Informatica, and BigID. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/1/2025