Senior Data Engineer

Developer will play an integral role in the PTEIT Machine Learning Data Engineering team. Design, develop and support data pipelines in a hybrid cloud environment to enable advanced analytics. Design, develop and support CI/CD of data pipelines and services. - 5+ years of experience with Python or equivalent programming using OOPS, Data Structures and Algorithms - Develop new services in AWS using server-less and container-based services. - 3+ years of hands-on experience with AWS Suite of services (EC2, IAM, S3, CDK, Glue, Athena, Lambda, RedShift, Snowflake, RDS) - 3+ years of expertise in scheduling data flows using Apache Airflow - 3+ years of strong data modelling (Functional, Logical and Physical) and data architecture experience in Data Lake and/or Data Warehouse - 3+ years of experience with SQL databases - 3+ years of experience with CI/CD and DevOps using Jenkins - 3+ years of experience with Event driven architecture specially on Change Data Capture - 3+ years of Experience in Apache Spark, SQL, Redshift (or) Big Query (or) Snowflake, Databricks - Deep understanding building the efficient data pipelines with data observability, data quality, schema drift, alerting and monitoring. - Good understanding of the Data Catalogs, Data Governance, Compliance, Security, Data sharing - Experience in building the reusable services across the data processing systems. - Should have the ability to work and contribute beyond defined responsibilities - Excellent communication and inter-personal skills with deep problem-solving skills.

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