Data Engineer - AWS/PySpark

Role : Data Engineer- AWS

Experience Required : Minimum 6+ Years (Relevant should be 5+ Years)

Location : Remote/ Work From Home

Job Type : Contract to Hire (1 Year Renewable)

Notice Period : Immediate to 30 Days

Mode of Interview : Virtual

- Must Have experience in : Python, SQL, AWS (as Primary Skill instead of Azure/ GCP), Snowflake, Airflow, EMR, Pyspark, CICD, Jenkins, Bitbucket, CSV, Excel

Requirements :

- Bachelors degree in Computer Science, Engineering, or a related field.

- Proficiency in Python, PySpark and SQL for data processing and manipulation.

- Min 5 years of relevant experience in data engineering, specifically working with Apache Airflow and AWS technologies.

- Strong knowledge of AWS services, particularly S3, Glue, EMR, Redshift, and AWS Lambda.

- Understanding of Snowflake Data Lake is preferred.

- Experience with optimizing and scaling data pipelines for performance and efficiency.

- Good understanding of data modeling, ETL processes, and data warehousing concepts.

- Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

- Effective communication skills and the ability to articulate technical concepts to non-technical stakeholders.

Preferred Qualifications :

- AWS certification(s) related to data engineering or big data.

- Experience working with big data technologies like Snowflake, Spark, Hadoop, or related frameworks.

- Familiarity with other data orchestration tools in addition to Apache Airflow.

- Knowledge of version control systems like Bitbucket, Git.