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3Pillar Global

Senior Data Engineer(8+ Years of Exp, Looking for Immediate Joiner)

Posted 2 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in India
Senior level
Remote
Hiring Remotely in India
Senior level
As a Senior Data Engineer, you will leverage advanced data technologies to improve analytics solutions for clients, ensuring data-driven decisions.
The summary above was generated by AI
At 3Pillar, our focus is on leveraging cutting-edge technologies that revolutionize industries by enabling data driven decision making. As a Senior Data Engineer, 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. if your passion for data analytics solutions that make a real-world impact, consider this your pass to the captivating world of Data Science and Engineering! 🔮🌐

Minimum Qualification

  • Demonstrated expertise with a minimum of 5+ years of experience as data engineer or similar role
  • Advanced SQL skills and experience with relational databases and database design.
  • 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 Big Data technologies like Spark, Map Reduce, Hadoop, Hive etc
  • Proficient in data pipeline and workflow management tools e.g. Airflow
  • Experience with the AWS data engineering services
  • Knowledge of AWS services viz., S3, Lambda, EMR, GLUE ETL, Athena, RDS, Redshift, EC2, IAM, AWS Kinesis
  • Very good exposure of working on Data Lakes & Data Warehouses solutions
  • Excellent problem-solving, communication, and organizational skills.
  • Proven ability to work independently and with a team.
  • Ability to guide other data engineers.

Regards
Rajan
TA Team

Top Skills

Airflow
Athena
AWS
Aws Kinesis
Azure Synapse
BigQuery
Ec2
Emr
Glue Etl
Hadoop
Hive
Iam
Lambda
Map Reduce
Numpy
Pandas
Python
Rds
Redshift
S3
Snowflake
Spark
SQL

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