- 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