Senior Associate Engineer - Data Engineering & Analytics

Responsibilities : - 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, prod support. - Develop technical solutions 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. - Follow coding standards, best practices, and privacy and security guidelines. - Be part of a multi-functional technical and domain skills team. Requirements : - Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or related technical discipline, or equivalent experience/training. - 1 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. - 1 years of data analytics experience using SQL. - 1 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. Preferred Qualifications - Education and Prior Job Experience : - 1 years of software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions. - 1 years of data analytics experience using SQL. - 1 years full-stack development experience, preferably in Azure. - 1 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. - 1 years of Teradata Vantage development and administration. Skills, Licenses, and Certifications : - Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation, 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, and Support experience in at least two(few) areas of the following tools/platforms required : - Scripting : Python, Spark, Unix, SQL. - Data Platforms : Teradata, Cassandra, SQL Server, ADLS, Snowflake. - 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. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/3/2025