About the Role:

In this role as a Data Engineer, you will:

Design, develop, optimize, and automate data pipelines that blend and transform data across different sources to help drive business intelligence, data science, and self-service data solutions.
Work closely with data scientists and data visualization teams to understand data requirements to ensure the availability of high-quality data for analytics, modelling, and reporting.
Build pipelines that source, transform, and load data that s both structured and unstructured keeping in mind data security and access controls.
Explore large volumes of data with curiosity and conviction.
Contribute to the strategy and architecture of data management systems and solutions.
Proactively troubleshoot and resolve data-related and performance bottlenecks in a timely manner.
Be open to learning and working on emerging technologies in the data engineering, data science and cloud computing space.
Have the curiosity to interrogate data, conduct independent research, utilize various techniques, and tackle ambiguous problems.
Shift Timings: 12 PM to 9 PM (IST)
Work from office for 2 days in a week (Mandatory)

About You

You re a fit for the role of Data Engineer, if your background includes:

Must have at least 4-6 years of total work experience with at least 2+ years in data engineering or analytics domains.
Graduates in data analytics, data science, computer science, software engineering or other data centric disciplines.
SQL Proficiency a must.
Experience with data pipeline and transformation tools such as dbt, Glue, FiveTran, Alteryx or similar solutions.
Experience using cloud-based data warehouse solutions such as Snowflake, Redshift, Azure.
Experience with orchestration tools like Airflow or Dagster.
Preferred experience using Amazon Web Services (S3, Glue, Athena, Quick sight).
Data modelling knowledge of various schemas like snowflake and star.
Has built data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data.
Knowledge building ETL workflows, database design, and query optimization.
Has experience of a scripting language like Python.
Works well within a team and collaborates with colleagues across domains and geographies.
Excellent oral, written, and visual communication skills.
Has a demonstrable ability to assimilate new information thoroughly and quickly.
Strong logical and scientific approach to problem-solving.
Can articulate complex results in a simple and concise manner to all levels within the organization.

Data Engineer