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Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
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
Fitness • Healthtech • Retail • Pharmaceutical
Design and implement ETL/ELT data pipelines, optimize performance, ensure data quality, and collaborate with data teams to create solutions for analytics.
Top Skills:
AWSAzureBigQueryDbtGCPPysparkPythonSQL
Fitness • Healthtech • Retail • Pharmaceutical
The Senior Data Engineer will design, implement, and collaborate on data solutions for healthcare, working with SQL, cloud technologies, and data warehousing.
Top Skills:
AWSAzureDatabricksGCPMicrosoft Sql ServerPysparkPythonSQL
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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