Job id : 43889

Engineering manager

Engineering manager

  Bangalore
   KAS Services        Bangalore
  7 hours ago      17 Applied
Job details

Job Type

  Full Time

Functional Area

Research/Analytics/Business Intelligence/Big data

Industry

Retail/Gems/Jewelery

Education

B.Tech/B.E-Computers Science

Experience Required

  10 - 15 Yrs

Salary

  40 - 50 Lakhs

Skills Required

   analytics

Languages

English

Job Description

  • Excellent presentation and communication skills to manage business engagement with senior business leaders
  • Strong people leader who can build & lead a high performing team
  • Experience leading delivery of data lakes, data warehouses and large-scale data processing systems.
  • Leading data platform technical team members in thought leadership, technical design, and approach to implementation of solutions.
  • Experience with on-premises and cloud-based platform services, building scalable platforms with minimum production defects
  • Deep understanding and adoption of Agile software delivery techniques and technologies including Continuous Integration & Continuous Delivery (CI/CD).
  • Advanced SQL working knowledge and experience working with a variety of relational databases, SQL query authoring
  • 10+ years of experience in building data pipelines and data centric applications using distributed storage platforms like HDFS, S3, NoSql databases (Hbase, Cassandra, etc) and distributed processing platforms like Hadoop, Spark, Hive, Oozie, Airflow, Kafka etc in a production setting
  • Deep working knowledge of AWS technologies such as S3, EC2, EMR or Bigdata/Hadoop, RDS, Lambda, Elasticsearch, Redshift, Cloudformation, Terraform, Cloudwatch etc.
  • Able to build processes that support data transformation, data structures, metadata, dependency and workload management.
  • Deep understanding and ability to build automations for data transformation, processing of data structures, metadata, dependencies and workload management for very high volume, velocity and variety of data.
  • Deep working knowledge of AWS technologies such as S3, EC2, EMR or Bigdata/Hadoop, RDS, Lambda, Elasticsearch, Redshift, Cloudformation, Terraform, Cloudwatch etc.
  • Advanced level working knowledge of Git and CI/CD pipeline technologies such as Jenkins, Chef, Kubernetes & Docker containers
  • Deep experience with object-oriented/object function scripting languages: Python, Scala, Java, R, C++, Golang etc.
  • Thorough knowledge of Data warehouses, NoSQL databases and ETL technologies like Informatica, Talend etc
  • Understanding of modern SaaS based monitoring and logging tools like New Relic/Sumologic or equivalent
  • Must have experience with Linux, shell scripting
  • Familiarity with BI tools a plus
  • Experience delivering data solutions using a variety of technologies and tools to marry on-premise and cloud-based systems together.
  • Influencing data platform architecture, framework and best practices to ensure high standards of data availability, reliability, completeness, efficiency and quality
Additional Information
Cab Facility Provided
Flexibility Provided