Advisor, Data Engineering - India

Job Description

  • Job Title Advisor


Description: ACCOUNTABILITIES Develops technical tools and programming to cleanse, organize and transform data and to maintain, protect and update data structures and integrity on an automated basis. Applies data extraction, transformation, and loading techniques in order to tie together large data sets from a variety of sources. Partners with both internal & external sources to design, build and oversee the deployment and operation of technology architecture, solutions and software. Designs, develops and programs methods, processes and systems to capture, manage, store and utilize structured and unstructured data to generate actionable insights and solutions. Responsible for the maintenance, improvement, cleaning, and manipulation of data in the business's operational and analytics databases. Proactively analyzes and evaluates the business's databases in order to identify and recommend improvements and optimization.RESPONSIBILITIES . Analyzes business needs and creates software and hardware solution blueprints. . Work closely with Data Product Managers and Solution Architects to define use cases and measurable business metrics . Works with engineering teams to check the feasibility of the solution, build stories and architects the solution for the Projects. Drives use cases through complete lifecycle. . Prepares flow charts, systems diagrams and design documentation to assist in development or problem analysis. . Designs, codes, tests and debugs software according to Client's standards, policies and procedures. Mentoring junior team members on technical and functional skills. Should be a great team player. Functional knowledge of business processes is required.Data EngineerSkillsPossesses and applies a broad knowledge of application programming processes and procedures to the completion of complex assignments. Competent to analyze diverse and complex problems. Leads large budget projects. Advanced ability to effectively troubleshoot program errors. Build high reliability, high quality, high volume data pipelines Setup batch, micro batch, streaming pipelines Data ingestion, transformation, processing - batch & near real time Automated tests and tie outs, self-healing data jobs Build products that can support themselves with none to minimal support after rollout Ability to communicate complex insights in a precise and actionable manner Mindset to think differently alignment to Industry standards awareness of emerging technologies and industry trendsTake the first step towards your dream careerEssential Requirements5- 8 years of relevant IT experience in Data-Warehousing Technologies with excellent communication and Analytical skills Understanding of Big Data technologiesShould possess the below skillset experience - Comfortable with ETL concepts Experience working with Teradata/Oracle/SQL Server/Greenplum as data warehouse databases Very strong in SQL (DDL, DML, procedural) Should know Unix and Shell Scripting Hands on experience on change capture and ingestion tools - StreamSets, Informatica Knowledge on Kafka and Oracle GoldenGateExcellent knowledge in scheduling tools like Control-M Understand E2E Dev and Test process Understands Data Architecture, data profiling, data quality Excellent analytical and problem-solving skills is a must have Strong communication and presentation skills Must be experienced in diverse industry and tools and data warehousing technologiesDesirable RequirementsBachelor of Engineering or Master of Computer Applications Experience in working in Agile (SCRUM) Methodology

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