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The role involves optimizing SAP and non-SAP systems, building data processing pipelines, and providing insights for the Cash Management function through collaboration and technical solutions.
Top Skills:
AirflowAlteryxDatabricksGcp Big QueryPysparkPythonRSAPSparkrSQLTableauTalend
Software
Lead the design and implementation of scalable ETL pipelines using Python and Snowflake, ensuring efficient data processing and architecture for cloud-native solutions.
Top Skills:
AWSEc2EmrPythonRdsS3SnowflakeSnowparkSnowpipeSnowsql
Pharmaceutical
Design, build, and maintain data pipelines using Azure tools and collaborate with teams to translate business needs into technical solutions. Mentor junior engineers and ensure data quality and governance while implementing CI/CD practices.
Top Skills:
Azure Data FactoryDatabricksJavaPowerappsPower BIPythonReltioSnowflakeSparkSQL
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
- Total IT Exp should be 7+ Years.
- 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
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