Senior Data Engineer(8+ Years of Exp, Looking for Immediate Joiner)
India
3Pillar Global
3Pillar is a leading modern application strategy, design, and engineering firm. Our expertise in product engineering and intelligent computing helps clients execute strategic software development initiatives.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Airflow Athena AWS Azure Big Data BigQuery Data Analytics Data warehouse EC2 Engineering ETL Hadoop Kinesis Lambda Map Reduce NumPy Pandas Python RDBMS Redshift Snowflake Spark SQL
Region:
Asia/Pacific
Country:
India
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