Product Strategy • Product Development • Product Architecture • Mobile Apps • Big Data
1001 - 5000
💰 Private Equity Round on 2021-10
6 days ago
Airflow
Amazon Redshift
Apache
AWS
Azure
Cassandra
Cloud
EC2
ETL
Google Cloud Platform
Hadoop
Kafka
MapReduce
MongoDB
Neo4j
NoSQL
Numpy
Pandas
Python
Redis
Spark
SQL
Tableau
Go
Product Strategy • Product Development • Product Architecture • Mobile Apps • Big Data
1001 - 5000
💰 Private Equity Round on 2021-10
• At 3Pillar, our focus is on leveraging cutting-edge technologies that revolutionize industries by enabling data driven decision making. • As a Lead, Data Engineering, you will hold a crucial position within our dynamic team, actively contributing to thrilling projects that reshape data analytics for our clients, providing them with a competitive advantage in their respective industries.
• Demonstrated expertise with a minimum of 7+ years of experience in data engineering domain • Advanced SQL skills and experience with relational databases and database design. • Experience with data modeling • Experience working with cloud Data Warehouse solutions (e.g., Snowflake, Redshift, BigQuery, Azure Synapse, etc.). • Strong Python skills with hands-on experience on Pandas, NumPy and other data related libraries • Experience with working on large data sets and distributed computing (e.g. Hive/Hadoop/Spark/Presto/MapReduce). • In depth knowledge and understanding of data streaming tools like Apache Kafka, AWS Kinesis. • Proficient in data pipeline and workflow management tools e.g. Airflow, AWS Step functions etc • Experience with data visualization tools like PowerBI, Tableau, AWs Quicksight etc • Experience with the AWS/Azure/GCP data engineering services • Knowledge of AWS services viz., EC2, EMR, S3, Lambda, EBS, IAM, Redshift, RDS, GLUE ETL • OR • Knowledge of Azure services viz., ADF, Databricks, Azure Synapse Analytics, ADLS Gen2, Azure Devops • Good understanding of NoSQL databases like Redis, Cassandra, MongoDB, or Neo4j. • Excellent problem-solving, communication, and organizational skills. • Proven ability to manage a highly skilled data engineering team.
Apply Now6 days ago
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