Hero FinCorp - AWS Tech Lead - Data Engineering

Responsibilities for the job : Key Responsibilities : - Should be able to provide Data Pipeline architecture, develop / review the process design - Data Model Designing, Developing and maintaining Data pipelines on Databricks using cloud (AWS Platform) - Hands-on experience with using Cloud Platform provided Big Data technologies like Databricks, EC2, EMR, RedShift, S3, Kafka. - Translate business needs to technical specifications and framework - Manage the development and support data engineers for business data mart - Manage / conceptualize data quality process to make sure the data correctness - Manage the data governance took like BigID - Experience designing, building and maintaining data architecture and warehousing using Databricks over AWS - Should have experience in visualization/dashboards tools like PowerBI, QlikSense, Tableau - Design and manage the data archival policy according to the business requirement - Develop sub-marts using SQL and OLAP function to fulfil immediate/ad-hoc need of the business users basis the comprehensive marts - Monitoring of the performance of ETL and Mart Refresh processes, understand the problem - areas and open a project to fix the performance bottlenecks. - Analytical mindset with a problem-solving approach Other Responsibilities (If Any) : - Availability during month-end Deck generation, may be sometime during week-end/holidays. Eligibility Criteria for the Job : Education : B.E/B.Tech in any specialization, BCA, M.Tech in any specialization, MCA - Age No Bar - Work Experience - 10 years of experience in data engineering on Databricks platforms over AWS/Azure - Exposure with working on BFSI domain / big data warehouse project - Exposure to manage multiple source of the information, both structured / unstructured data - Manage data lake environment for point in time analysis (SCD Type 2), multiple refresh during the day, event based refresh, near real time refresh - Should have exposure on Managing environment having real time dashboard, data mart requirement. Primary Skill : - Must have orchestrated using any of the cloud platforms, preferred Databricks - Expert in Python and Pyspark coding - Expert in writing complex SQL Command using OLAP - Working experience on BFSI Domain Technical Skills : - Must have orchestrated at least 3 projects using any of the cloud platforms (GCP, Azure, AWS etc. ) is a must. - Must have orchestrated at least 2 projects using Databricks over AWS/Azure - Mush have worked on any cloud PaaS/SaaS database/DWH such as AWS redshift/ Big Query/ Snowflake - Expertise in programming languages like Python or Pyspark or Scala or SQL/PLSQL. - Python/Spark Hands - on Exp from data engineering perspective is a must - Experience in at least one of the major ETL tools (Talend TAC, SSIS, Informatica) will be added advantage - Experience with Github and Jenkins CI/CD or similar Devops tools. - Experience with ETL tooling, migrating ETL code from one technology to another will be a benefit - Hands-on experience in Visualization/Dashboard tools (PowerBI, Tableau, Qliksense) Management Skills : - Ability to handle given tasks and projects simultaneously in an organized and timely manner. - Lead the team of engineers and manage their task toward achieving the project - Daily project updates and should be able identify the project risks & mitigations. - Manage fortnightly updates for the Sr. Management of both the sides - Up to date project plan, project documentation - Resource planning Soft Skills : - Good communication skills, verbal and written. - Attention to details. - Positive attitude and confident (ref:hirist.tech)

Location: India, IN

Posted Date: 11/14/2024