2COMS Consulting Hiring Drive 2024 For Data Engineer – Data Modeling | Location Bengaluru

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2COMS Consulting Hiring Drive 2024: 2COMS Consulting Hiring Drive 2024 for its Data Engineer – Data Modeling. 2COMS Consulting Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a B.E/B.Tech degree. if you are interested, please apply as soon as possible.

Company Name: 2COMS Consulting

Role: Data Engineer – Data Modeling

Location: Bengaluru / Chennai / Hyderabad

Experience: 1 – 6 years

Qualification: B.E/B.Tech

Batch: Any

Job Type: Full Time

Salary: 11.9 LPA (Expected)

2COMS Consulting Hiring Drive 2024

Job Description:

  • Our Client is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges.
  • They have a team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.
  • Our client are Great Place to Work – Certified.
  • They are ranked among the Best’ and Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

Requirements:

  • Strong experience in one or more RDBMS systems (such as Oracle, DB2, SQL Server)
  • Good understanding of Star schema, Snowflake schema, Data Vault Modelling
  • Good experience in OLTP and OLAP systems
  • Excellent Data Analysis skills
  • Good Experience on one or more Cloud DW (e.g. Snowflake, Redshift, Synapse)
  • Experience on one or more cloud platforms (e.g. AWS, Azure, GCP)
  • Understanding of DevOps process
  • Hands-on experience in any Data Modelling Tool
  • Good understanding of one or more ETL tool
  • Excellent Communication skills
  • Minimum 3 years of relevant hands-on experience

Responsibility:

  • The Data Modeler will be responsible for the design, development, and maintenance of data models and standards for Enterprise data platforms.
  • Understand the Business Requirements and the corresponding data sets.
  • Translate business requirements into working logical and physical Service Layer Data models.
  • Create and maintain Logical Data Model (LDM) and Physical Data Model (PDM) applying best practices and providing business insights.
  • Create and maintain the Source to Target Data Mapping document.
  • Includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc.
  • Gather and Publish Data Dictionaries: Maintain data models and capture data models from existing databases and record descriptive information.
  • Build data warehouse & data marts (on Cloud) while performing data profiling and quality analysis.
  • Use Version control to maintain versions of data models
  • Design and develop data extraction and integration code modules.
  • Work with the Data Engineers to define the Ingestion logic, ingestion frequency and data consumption patterns

Skills:

  • amazon redshift
  • rdbms concepts
  • dbms
  • star schema
  • cloud
  • data extraction

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