BI Lead (Sr. ERP Consultant)

14 - 18 years

20 - 35 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Description

Job Title: BI Lead (Sr. ERP Consultant)

Job Location: Hyderabad

Experience: 13+ yrs of relevant experience

Job Type: Full Time

NP: Immediate to 30 Days

Objectives and Responsibilities of the BI Lead:

(A) As Business Intelligence Architecture:

  • Over 15+ years of experience with architecting the data pipelines or data ingestion for both Batch/Streaming data from different sources to data warehouse/data lake; 7+ years working in AWS cloud
  • Experience in designing and delivering data warehousing and analytics projects, including using cloud technologies such as EMR, Lambda, Cloud Storage, BigQuery, etc.
  • Experience of at least 8 to 10 large projects building and optimising BigData pipelines, architectures and datasets
  • Experience working on cloud platforms (AWS/Azure/GCP) and its architecture for data solutions
  • Hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase,

Flume, Kafka and emerging technologies)

  • Minimum of 5 years in Solution development experience with at least 3 years of Solution architecture
  • Experience of working in HTML 5 , CSS3, PHP, Node JS
  • Strong skillsets with web services including REST, SOAP, and API management.
  • Experience with enterprise Data Integration technologies including ETL, XSLT, XML and JSON
  • Working familiarity with web services including REST, SOAP, and API management.
  • Working knowledge of Chat API and integrating it with external channels
  • Experience in working with databases like SQL Server & writing complex SQL queries.
  • Experience integrating custom and package products across complex enterprise environments.
  • Experience with RedHat Linux, Windows Server
  • Excellent Communication skills
  • Deep analytical and problem-solving skill
  • Project & resource management skills

(B) As Business Intelligence Solution Manager:

  • Propose architectural solutions to help move and improve infra and data from on-premise to cloud; experience in preparing tech specs document for large scale, complex architectures sol.
  • Effectively strategies the migration of clients data using Google Cloud, AWS or other cloud technologies.
  • Provide advisory and thought leadership on the provision of analytics environments leveraging Cloud-based platforms, big data technologies, including integration with existing data and analytics platforms and tools.
  • Design and implement scalable data architectures leveraging Big Query, Hadoop, NoSQL and emerging technologies, covering on-premise and cloud-based deployment patterns.
  • Provide Consulting and Solution support to customers during their data warehouse or data lake modernisation, especially in design and implementation of data-centric architectures.
  • Proactively identify niche opportunity areas within data and analytics framework, and drive client discussions delivering presentations, demos and proofs-of-concept to showcase capabilities and transformation solutions.
  • Manage team and handle delivery of 8-10 projects
  • Be a thought leader around all things Data, reviewing current and future needs alongside the Executive Team.
  • Strong leadership with the ability to collaborate across the organisation working with emerging technologies and guiding teams to deliver complex data solutions, standards, architectural governance, design patterns, and practices.

Qualifications & Mandatory Skills:

  • Bachelors / Master’s degree in computer science, Engineering or related field.
  • Experience in R, python.
  • 8+ years of experience on Azure, AWS or Google Cloud.
  • 5+ years of experience with Big Data / Hadoop / Data Ingestion (Apache Spark, Hadoop, or Kafka).
  • 5+ years of experience on metadata, governance.
  • Hands-on experience in one or more Object-Oriented Programming languages (Java, Scala, Python)
  • 10+ years of experience with Agile Methodologies Scrum, SAFe or Kanban.
  • Ability to define data model and data storage strategies, including knowledge of distributed data systems.
  • Expert level in building big data solutions.
  • Hands-on experience building cloud scalable, real time and high-performance data lake solutions using AWS, Azure, EMR, S3, Hive & Spark, Athena
  • Expertise in an agile and iterative model
  • Expert level in relational SQL
  • Experience with scripting languages such as Shell, Python, R and emerging technologies
  • Experience with source control tools such as GitHub and related dev process
  • Experience in Engineering and Constructions is preferable.
  • Experience with RDBMS including but not limited to MySQL, PostgreSQL, SQL Server, Oracle
  • Solid knowledge of the SDLC and enforcement of standard software development practices.
  • Ability to review and critique code and proposed designs and offer thoughtful feedback in a collegial fashion.
  • Proven history of self-direction, creativity, and ability to meet deadlines.
  • Skilled in writing and communication- able to craft needed messages so they are clearly expressed and easily understood.
  • Ability to work well with the other Technical Leads and foster an environment of collaboration and learning.

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