Data Engineer

About the Organization-

Impetus Technologies

Founded in 1991, we are cloud and data engineering leaders providing solutions to fortune 100 enterprises, headquartered in Los Gatos, California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. We also have offices in Canada and Australia and collaborate with a number of established companies, including American Express, Bank of America, Capital One, Toyota, United Airlines, and Verizon.

• 1-3 years of good hands on exposure with Big Data technologies – pySpark (Data frame and SparkSQL), Hadoop, and Hive
• Good hands on experience of python and Bash Scripts
• Good understanding of SQL and data warehouse concepts
• Strong analytical, problem-solving, data analysis and research skills
• Demonstrable ability to think outside of the box and not be dependent on readily available tools
• Excellent communication, presentation and interpersonal skills are a must
• Good to have:
• Hands-on experience with using Cloud Platform provided Big Data technologies (i.e. IAM, Glue, EMR, RedShift, S3, Kinesis) (good to have)
• Orchestration with Airflow and Any job scheduler experience
• Experience in migrating workload from on-premise to cloud and cloud to cloud migrations

Roles and Responsibilities

• Develop efficient ETL pipelines as per business requirements, following the development standards and best practices.
• Perform integration testing of different created pipeline in AWS env.
• Provide estimates for development, testing & deployments on different env.
• Participate in code peer reviews to ensure our applications comply with best practices.
• Create cost effective AWS pipeline with required AWS services i.e S3,IAM, Glue, EMR, Redshift etc.

For Quick Response- Interested Candidates can directly share their resume along with the details like Notice Period, Current CTC and Expected CTC at anubhav.pathania@impetus.com