Senior Data Engineer

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

Hyderabad, Bangalore, Pune, Chennai, Gurgaon

Our organization is currently seeking a skilled Senior Data Engineer to become part of our dynamic team.

In this role, as a Senior Data Engineer, you will focus on projects involving data integration and ETL for cloud-based platforms. Your responsibilities will include crafting and executing sophisticated data solutions to ensure the data remains precise, dependable, and readily available.

Responsibilities

Design and execute sophisticated data solutions on cloud-based platforms
Create ETL processes utilizing SQL, Python, and additional relevant technologies
Maintain data precision, reliability, and accessibility for all stakeholders
Work collaboratively with interdisciplinary teams to meet data integration needs and specifications
Produce and update documentation such as technical specifications, data flow diagrams, and data mappings
Enhance and oversee data integration processes to boost performance and efficiency while ensuring 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 knowledge of SQL for data querying and manipulation
Background in Snowflake for data warehousing
Familiarity with 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