Data Tech Leader

• Leading a team of data engineers and data scientists to design, develop, and maintain our big data architecture, infrastructure, and analytics solutions.
• Designing and implementing big data solutions to support our business needs.
• Developing and implementing data analytics strategies to provide business insights.
• Ensuring data security and compliance with regulatory requirements.
• Evaluating platforms and conducting POCs.
• Providing the low-level design for the data solution.
• Planning/controlling the data products development activities.
• Managing implementations and providing solutions for the clients problems.
• Designing and developing data processing pipelines to ingest, process, and analyze large volumes of data.
• Identifying and resolving technical issues related to big data infrastructure and analytics solutions
• Responsible for sprint planning, Stand up meetings, and retrospective meetings.
• Mentoring, coaching, and evaluating team members to ensure their growth and development.
  

Requirements

What you should have!

• Have knowledge of Hadoop, spark, spark streaming, HBase, debezium, hive, Cloudera CDH, and Kafka no SQL
• Deep knowledge of Data warehousing and data migration concepts
• Knowledge of Data architecture layers
• Knowledge of database application development
• IBM/ Informatica/ Talend
• Java/Python / R or Scala
• Experience in Agile development methodologies
• Experience with data analytics tools such as Tableau, Power BI, or QlikView
• Experience with data modeling tools
• Bachelor of Computer Science, Data Science, or any relevant field
• 7-10 years of experience