Senior Data Engineer

Data Integration, SQL, Python, Snowflake, Azure Data Factory, AWS Glue, Google Cloud BigQuery

Hyderabad, Bangalore, Pune, Chennai, Gurgaon

We are seeking a skilled Senior Data Engineer to become a part of our dynamic team.

In this role as a Senior Data Engineer, you will focus on projects involving data integration and ETL processes tailored for cloud-based environments. Your main tasks will include crafting and executing sophisticated data structures, while ensuring the integrity, accuracy, and accessibility of data.

Responsibilities

Design and execute sophisticated data structures for cloud environments
Develop ETL workflows utilizing SQL, Python, and other pertinent technologies
Maintain data integrity, reliability, and accessibility for all relevant parties
Work with diverse teams to comprehend data integration needs and specifications
Create and manage documentation such as technical details, data flow charts, and data mappings
Enhance and monitor data integration workflows to boost performance and efficiency while maintaining data accuracy and integrity

Requirements

Bachelor’s degree in Computer Science, Electrical Engineering, or a related field
5-8 years of experience in data engineering
Proficiency in cloud-native or Spark-based ETL tools like AWS Glue, Azure Data Factory, or GCP Dataflow
Strong understanding of SQL for data querying and manipulation
Familiarity with Snowflake for data warehousing
Background in cloud platforms such as AWS, GCP, or Azure for data storage and processing
Excellent problem-solving skills and attention to detail
Good verbal and written communication skills in English at a B2 level

Nice to have

Background in ETL using Python