Data Analytics Engineer- AWS – (6-12 years) – Bangalore/Gurgram/Mumbai
A job opportunity for a professional having more than 3 years of experience in AWS services. Someone having experience in EMR/MSK/Elasticsearch/Neptune, Python, besides PySpark, SQL, JAVA/Scala, and AWS Dynamo DB is the right fit for the job.
#AWS #Python #EMR #Pyspark #Scala #Lamda #SQL #Neptune #JAVA #JAVA #Neptune
Your Future Employer: One of the top multinational artificial intelligence company that provides services in consumer packaged goods, insurance, healthcare, life sciences, retail and technology, and the financial sector.
Working closely with Product Owners and AWS Professional Service Architects to understand requirements, formulate solutions, and implement them.
Implementing scalable data transformation pipelines as per design.
Implementing Data model and Data Architecture as per laid out design.
Evaluating new capabilities of AWS analytics services, developing prototypes, and assisting in drawing POVs, participating in design discussions.
Minimum 2 years’ experience implementing transformation and loading of data.
At least 2 years implementing solutions using AWS services such as Lambda, AWS Athena and Glue AWS S3, Redshift, Kinesis, Lambda, Apache Spark
Experience working with data warehousing data lakes or Lakehouse concepts on AWS
Experience implementing batch processing using AWS Glue/Lake formation, & Data Pipeline, EMR/MSK/Elasticsearch/Neptune
Experience or Exposure to AWS Dynamo DB will be a plus
Develop object-oriented code using Python, besides PySpark, SQL, and one other language
( Java or Scala would be preferred).
Experience in Streaming technologies both OnPrem/Cloud such as consuming and producing from Kafka, Kinesis, building pipelines and orchestration of workflows in an enterprise environment using Apache Airflow/Control M
Experience implementing Redshift on AWS or any one of Databricks on AWS, or Snowflake on AWS.
What’s in it for you:
A great career opportunity that boosts your professional growth.
A stimulating working environment with equal employment opportunity.
Growing of skills while working with industry leaders and top brands.
A meritocratic culture with great career progression.
Reach us: If you feel that you are the right fit for the role please share your updated CV at email@example.com