Source description
About the role
Bigdata team member in New Data team for L4 - Lead Data Engineer in Hyderabad, India, India Bigdata team member in New Data team for L4 - Lead Data Engineer Description Responsibilities Design Build data pipelines with an emphasis on scale, performance and reliability. Provide technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud. Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data Partner with the data teams, enterprise architecture organization to ensure best use of standards for the key data domains and use cases Continuous learner with an eye on emerging trends around data lake architecture and enterprise data solutions. Ensure compliance through the adoption of enterprise standards and promotion of best practice / guiding principles aligned with organization standards Experience Qualifications BE, MCA or MS degree in Computer Science or Information Technology 6+ years of experience building solutions in big data technologies. For L4: 9+ years of experience programming with one or more of Java / Scala. Experience in Big data eco system (Spark, Kafka, Delta Lake) Experience building streaming data pipelines using Kafka and Spark Development experience in delivering ELT/database/programming solution with hands on experience in big data concepts spark performance tuning, Data modeling and data ware housing concepts, Reusable transformations, Partition techniques. Strong knowledge on SQL optimizations and tuning. Must have experience in continuous delivery through CI/CD pipelines, containers and orchestration technologies. Preferred experience building data pipelines on Databricks, Snowflake, Azure Data Lake etc for Lakehouse/Warehouse solutions is an added advantage. Expert knowledge of Agile approaches to software development and able to put key Agile principles into practice to deliver solutions incrementally. Monitors industry trends and directions; develops and presents substantive technical recommendations to senior management Excellent analytical thinking, interpersonal, oral, and written communication skills with strong ability to influence both IT and business partners Ability to prioritize and manage work to critical project timelines in a fast-paced environment Financial services industry experience is an added advantage. Databricks experience or certifications is an added advantage. AWS or any public cloud certification is an added advantage. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
More at Ness Digital Engineering