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Senior Data Engineer- AWS

Senior Data Engineer- AWS

InfoCeptsPune (division)
1 day ago
Job description

Key Result Areas and Activities :

  • Study existing technology landscape and understand current data integration frameworks and do impact assessment for the requirements.
  • Should be able to design complex Big Data use cases using AWS Services and Databricks, under guidance of Architect
  • Should be able to assist the architect in reasoning about various architecture choices in terms of cost, performance and durability.
  • Should be able to suggest optimizations in existing designs.
  • Project documentation adheres to quality guidelines & schedules.
  • Works hand in hand with Architect & PM for successful delivery of project and provide estimation, scoping, scheduling assistance.
  • Articulate design decisions very clearly with stakeholders.
  • Perform Proof-of-Concepts and document all observations before proposing a new solution.
  • Conduct design review sessions with other teams and identify scope of improvement.
  • Suggests automation to improve existing processes.

Work and Technical Experience :

Must-Have :

  • In-depth knowledge of the following AWS services : S3, EC2, EMR, Athena, AWS Glue, Lambda
  • Experience with at least one MPP database : AWS Redshift, Snowflake, SingleStore
  • Proficiency in Big Data technologies : Apache Spark, Databricks
  • Must have strong programming skills in Python
  • Responsible for building data pipelines in AWS And Databricks
  • Experience with Big Data table formats, such as Delta Lake (open source)
  • Must have very strong SQL skills
  • Experience with orchestration tools like Apache Airflow
  • Expertise in developing ETL workflows with complex transformations such as SCD, deduplications, aggregations, etc.
  • Should be a quick and self-learner, ready to adapt to new AWS services or Big Data technologies as required
  • Strong understanding of data warehousing concepts
  • Good to have :

  • Cloud Databases – Snowflake, AWS Aurora
  • Big Data – Hadoop, Hive
  • Cloud Databases– AWS Aurora
  • Associate Level or Professional Level AWS Certification or Databricks Certification
  • Qualifications :

  • Overall, 7+ years of IT Exp
  • 5+ years of relevant experience in AWS related project
  • Bachelor’s degree in computer science, engineering, or related field (master's degree is a plus)
  • Demonstrated continued learning through one or more technical certifications or related methods.
  • Qualities :

  • Hold strong technical knowledge and experience
  • Should have the capability to deep dive and research in various technical related fields
  • Self-motivated and focused on delivering outcomes for a fast-growing team and firm
  • Able to communicate persuasively through speaking, writing, and client presentations
  • Able to consult, write, and present persuasively
  • Able to work in a self-organized and cross-functional team
  • Able to iterate based on new information, peer reviews, and feedback
  • Prior experience of working in a large media company would be added advantage
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    Senior Data Engineer • Pune (division)