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Senior Big Data Engineer

1 month ago

Bengaluru, Karnataka, India F335 Deutsche India Private Limited, Bangalore Branch Full time

Job Description

Senior Big Data Engineer is responsible for developing and delivering elements of engineering solutions to accomplish business goals. Awareness is expected of the important engineering principles of the Bank. Root cause analysis skills, developed through addressing enhancements and fixes to products. Build reliability and resiliency into solutions through early testing, peer reviews and automating the delivery lifecycle.

Successful candidate should be able to work independently on medium to large sized projects with strict deadlines. Should be able to work in a cross-application, mixed-technical environment and must demonstrate solid hands-on development track record while working on an agile methodology. The role demands working along-side a geographically dispersed team.

Key Responsibilities

  • Analysing data sets and designing and coding stable and scalable data ingestion workflows, also integrating into existing workflows.
  • Working with team members and stakeholders to clarify requirements and provide the appropriate ETL solution.
  • Work as a senior developer for developing analytics algorithm on top of ingested data.
  • Work as a senior developer for various data sourcing in Hadoop, also GCP.
  • Own unit-testing, UAT deployment, End-User sign-off & Prod Go-Live.
  • Ensuring new code is tested, both at unit level and at system level.
  • Design, develop and peer review new code/functionality.
  • Operate as a team member of an Agile Scrum team.

Requirements

  • 6+ years of coding experience in reputed organizations.
  • Hands on experience on BitBucket, Github and related CICD pipelines.
  • Proficient in Hadoop, Python, Spark, SQL, Unix, Hive,
  • Understanding of On-Prem, & GCP data security.
  • Hands on development experience on large ETL/Big Data systems.
  • Hands on experience on GCP Dataproc, GCP Composer, GCP Big Query, Cloud Storage, etc.
  • Basic understanding of Data Quality dimensions like Consistency, Completeness, Accuracy, Lineage etc.
  • Basic understanding of data architectures such as Data Mesh, Data virtualization, Hybrid cloud environments, and latest industry trends including data observability.
  • Basic understanding of CloudBuild, ArtifactRegistry, CloudDNS, CloudLoadBalancing etc.
  • Hands on business and systems knowledge gained in a regulatory delivery environment.
  • Banking experience, regulatory and cross-product knowledge.
  • Passionate about test driven development.
  • Good to have - Data visualisation experience in any reporting/ analytical tool like Tableau and/or GCP Looker, GCP data Studio
  • GCP data certification would be a plus.

What We Offer

  • Training and development to help you excel in your career
  • Coaching and support from experts in your team
  • A culture of continuous learning to aid progression
  • A range of flexible benefits that you can tailor to suit your needs