W3Global

We are looking for a strong Data Engineer cum Architect, to create new modern data ingestion pipelines using latest technologies like AWS Athena, Lambdas, Python, Spark.. SQL, Python, PySpark , S3, Lambda, EMR, Glue, Athena, EC2, IAM, Redshift, DMS, Airflow, Jenkins, Snowflake.. Migrate data from traditional relational database systems to AWS relational databases such as Amazon RDS, Aurora, and Redshift.. Should have a very good hands-on experience in Cloud DB platforms (Snowflake is preferable), Building data pipelines & SQL, Python for Data Engineering.. Manage and perform data operations and data engineering requirements including automation and optimization.

lead data engineer

Job Description Must have Skills: Cloud architecture (Strong), Cloud development (Strong), Python (Strong), Snowflake, AWS Lambda. We are looking for a strong Data Engineer cum Architect, to create new modern data ingestion pipelines using latest technologies like AWS Athena, Lambdas, Python, Spark. You'll be working on data pipelines and tools to provide the underlying data ingestion framework." Technical Skills Frontrunner
Be inclined towards process automations & improvements, Identifying & automating repetitive things.
Must be able to handle Data engineering operations / enhancement project with a technical consultant bend.
SQL, Python, PySpark , S3, Lambda, EMR, Glue, Athena, EC2, IAM, Redshift, DMS, Airflow, Jenkins, Snowflake.
End-to-end data solutions (ingest, storage, integration, processing, access) on AWS.
Migrate data from traditional relational database systems to AWS relational databases such as Amazon RDS, Aurora, and Redshift.
12+ years IT experience. Background and experience in data engineering/analytics.
Should have a very good hands-on experience in Cloud DB platforms (Snowflake is preferable), Building data pipelines & SQL, Python for Data Engineering.
Got experience to Perform, Support and Lead all aspects of Data Engineering strategy.
Excellent root cause analysis skills.
Ensure effective data pipeline engineering, deployment, ongoing operations, and continuous improvement.
Manage and perform data operations and data engineering requirements including automation and optimization.
Highly motivated, a self-starter, ability to work in a fast faced environment while managing competing priorities.
Creative problem solver and highly collaborative teammate who is comfortable working as a key contributor.
Certification in Data Engineering and/or Cloud Platforms are a plus.
Good written and verbal communication skills, and comfortable presenting findings to Sr. Management. #J-18808-Ljbffr

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