Manager, Data Engineering
Chennai, TN, IN
6h ago

MIDAS Data engineering team is seeking a Data engineering manager with strong experience in delivering large scale datawarehouse solutions.

MIDAS team is part of DCCS engineering organization who build services and products for cross digital teams across Amazon.

We specialize in building analytics and data engineering related products specifically around business datamarts, metadata management, customer cohorts, and advanced self-serve analytics.

In this role you will be responsible for architecting and delivering enterprise wide analytical datamarts, improvise data quality and deliver on next generation big data platforms to meet business scale.

you will be responsible for roadmap creation, align stakeholder teams and provide technical mentorship to team members. you will be expected to leverage prominent paradigms such as data lakes, distributed data processing, NOSQL DBs, batch and stream processing and provide solves for business analytics and ML use-cases.

An ideal individual is someone who has deep traditional data engineering skills around ETL, data modeling, and database architecture, combined with the ability to architect and visualize products and infrastructures in the big data space.

You have strong business judgement, excellent written and verbal communication skills, and are comfortable working with business leaders at all levels, including senior management.

8+ years of experience as a Data or BI Engineer dealing with large complex data scenarios.

  • Demonstrated ability in data modeling, ETL development, and data warehousing.
  • Data Warehousing experience with any database like Oracle, Redshift, Teradata, etc.
  • Hands on in using SQL & Query performance tuning skills.
  • Experience on data platform re-architecture projects
  • Proven experience in handling operational excellence in DW via automation.
  • Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)

    Experience in large-scale data warehousing projects using AWS technologies or other peer cloud technologies.(Redshift, S3, EMR )

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