Data Engineer-II

3 days ago

Bengaluru, Karnataka, India TMRW House of Brands Full time ₹ 8,00,000 - ₹ 24,00,000 per year

Data Engineer-II

Address:
Umiya Business Bay Tower-1, Kaverappa Layout, Kadubeesanahalli, Bengaluru, Karnataka 560103

TMRW House of Brands Bengaluru, Karnataka, India (On-site)

Responsibilities

  • Create, implement and operate the strategy for robust and scalable data pipelines for business intelligence and machine learning.
  • Develop and maintain core data framework and key infrastructures
  • Create and support the ETL pipeline to get the data flowing correctly from the existing and new sources to our data warehouse.
  • Data Warehouse design and data modeling for efficient and cost-effective reporting
  • Collaborate with data analysts, data scientists, and other data consumers within the business to manage the data warehouse table structure and optimize it for reporting.
  • Constantly striving to improve software development process and team productivity
  • Define and implement Data Governance processes related to data discovery, lineage, access control and quality assurance
  • Perform code reviews and QA data imported by various processes
  • Qualifications
  • 3-5 years of experience.
  • At least 3+ years of experience in data engineering and data infrastructure space on any of the big data technologies: Hive, Spark, Pyspark(Batch and Streaming), Airflow, Redshift and Delta Lake.
  • Experience in product-based companies or startups.
  • Strong understanding of data warehousing concepts and the data ecosystem.
  • Strong Design/Architecture experience architecting, developing, and maintaining solutions in AWS.
  • Experience building data pipelines and managing the pipelines after they're deployed.
  • Experience with building data pipelines from business applications using APIs.
  • Previous experience in Databricks is a big plus.
  • Understanding of Dev Ops would be preferable though not a must
  • Working knowledge of BI Tools like Metabase, and Power BI is a plus
  • Experience of architecting systems for data access is a major plus.

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