Responsible for creating and managing the company's Big Data infrastructure and tools, and knows how to get results from vast amounts of data quickly.
Key Responsibilities:
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 client's 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.
What you should have?
Bachelor of Computer Science, Data Science, or any relevant field.
Overall from 7 - 10 years of experience including Min. 4 years of experience as big data team lead.
Deep knowledge of Hadoop, spark, spark streaming, HBase, debezium, hive, Cloudera CDH, and Kafka no SQL.
Deep knowledge of Data warehousing and data migration concepts.
Deep Knowledge of Data architecture layers.
Deep Knowledge of database application development.
Deep knowledge of IBM/ Informatica/ Talend.
Deep knowledge of Java/Python / R or Scala.
Proficiency in data analytics tools such as Tableau, Power BI, or QlikView.
