Brief Description of position:

Job description (Data Engineer)

Designation: Consultant-II

Job Responsibilities

• Use different data warehousing concepts to build a data warehouse for reporting purpose.
• Design, develop, and launch efficient and reliable data pipelines to move data across application systems and to provide intuitive analytics to business teams
• Actively develop and test ETL components to high standards of data quality.
• Assist in the creation of design best practices as well as coding and architectural guidelines, standards, and frameworks.
• Provide analytical support like Visualization, Business Insights, Reporting, as needed.

Must have:

• 3+ years of experience in ETL (or) data engineering role in an analytics environment.
• Bachelor’s degree in a technical field (Comp. Sci degree preferred not mandatory)
• Working knowledge of Relational Database Management Systems (RDBMS) like Oracle, SQL server etc.
• Expertise in building data pipelines & data warehousing concepts
• Good understanding of Big data platforms
• Knowledge of SQL, Python & some of the standard data science packages (Pandas, Numpy, etc.).
• Strong verbal and business communication skills.

Good to have:

• Working experience in AWS/Azure/GCP
• Data ingestion using one or more modern ETL compute and orchestration frameworks (e.g. Apache Airflow, Luigi, Spark, Apache Nifi or Apache Beam)
• Exposure to Visualization tools like Tableau & Power BI