Senior Data Engineer

Are you excited by the prospect of wrangling data, helping develop information systems/sources/tools, and shaping the way businesses make decisions? The Go-To-Markets Data Analytics team is looking for a skilled Senior Data Engineer who is motivated to deliver top notch data-engineering solutions to support business intelligence, data science, and self-service data solutions.

About the Role:

In this role as a Senior 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 thats 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

Youre a fit for the role of Senior Data Engineer, if your background includes:

• Must have at least 6-7 years of total work experience with at least 3+ 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.