Required Skills

Data Engineer

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 26th May 2023

JOB DETAIL

  • Develop and maintain highly efficient and interactive reports, dashboards, and data models to meet business requirements.
  • Collaborate with data scientists and business stakeholders to understand data analysis needs and translate them into technical requirements.
  • Design and implement data engineering pipelines to extract, transform, and load data from various sources into the analytics platform.
  • Perform data validation, cleansing, and transformation to ensure accuracy and consistency.
  • Optimize database queries and data retrieval processes to enhance performance and scalability.
  • Conduct data profiling and analysis to identify data quality issues and provide recommendations for improvement.
  • Stay up to date with industry best practices and emerging trends in analytics, data engineering, and visualization tools.

MANDATORY

  • 12 years of experience as an Analytics Developer, Data Engineer, or similar role, with a focus on developing reports, dashboards, and data models.
  • Strong experience designing and implementing data models and schemas in Snowflake. 
  • Define Snowflake databases objects to support efficient data storage and retrieval.
  • Expertise with data visualization tools such as Power BI, Looker, Tableau, or similar.
  • Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
  • Proficiency in data modeling concepts and techniques (e.g., dimensional modeling, star schema).
  • Solid understanding of data engineering principles and experience with data integration and ETL processes.
  • Familiarity with cloud platforms, preferably Azure, and experience with integration tools like IICS (Informatica Intelligent Cloud Services).
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills to work effectively in cross-functional teams.
  • Proficiency in programming languages such as Python, R, or Java.
  • Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Experience with data integration tools such as Informatica Intelligent Cloud Services and Mulesoft.
  • Experience using Azure services for Security, Blob Storage, Data Lake, Databricks, Data Factory etc.
  • Experience with Azure Monitoring services
  • Microsoft Certified Azure Solutions Architect Expert or a Snowpro Certification or a similar one

Company Information