Offer summary

Qualifications:

Minimum of 5+ years of experience as a data engineer or in a similar role., Advanced SQL skills and experience with relational databases and database design., Strong Python skills with hands-on experience in data libraries like Pandas and NumPy., Experience with cloud Data Warehouse solutions and Big Data technologies such as Spark and Hadoop..

Key responsibilities:

Contribute to data analytics projects that provide competitive advantages for clients.

Design and manage data pipelines and workflows using tools like Airflow.

Work with cloud data engineering services and ensure effective data storage solutions.

Guide and mentor other data engineers within the team.

3Pillar Global builds breakthrough software products that power digital businesses. 3Pillar is an innovative product development partner whose solutions drive rapid revenue, market share, and customer growth for industry leaders in Software and SaaS, Media and Publishing and Information Services. Leveraging a lean and agile approach, 3Pillar delivers value-generating, digital solutions with specialized product strategy and management, user experience design, as well as software and data engineering expertise across mobile, cloud, and disruptive technologies. For more information on the company and our services, please visit https://www.3pillarglobal.com. For current job openings in North America, APAC, LATAM and EMEA, please visit https://www.3pillarglobal.com/career-opportunities/.

Job description

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.