Data Engineer
Data Engineer
E SolutionsThis job is no longer accepting applications
Job Description
- Proficiency in Python, Java, or SQL for data processing and automation.
- Hands-on experience with cloud platforms (especially Azure, Snowflake, and Databricks).
- Expertise in big data technologies (such as Apache Spark, Hadoop, or Kafka).
- Deep understanding of data modeling, performance tuning, and optimization.
- Familiarity with transformer-based architecture, Generative AI, and LLM data workflows
Leadership & Collaboration:
- Proven ability to lead complex data engineering projects.
- Strong mentorship skills and experience guiding junior engineers.
- Excellent communication and teamwork skills to collaborate with cross-functional teams.
More Info
Job Type:
Employment Type:
About Company
Founded in 2003, E-Solutions proudly celebrates 22 years of growth, with outreach in 33 countries. In today’s dynamic environment, we believe in collaborative success over individual performance.
As an extension of our clients, we commit to innovation and shared outcomes, with a significant portion of our revenue from outcomes-based partnerships.
Co-innovation and disruption drive our mission, and we tailor solutions through both proprietary and partnered investments. Our agility fosters trust and ensures business continuity, while our E-Solutions Edge framework guarantees operational excellence.
Choose E-Solutions as your trusted partner.
Skills:
Amazon S3, AWS IAM, AWS CloudFormation, AWS CloudWatch, Python, Sql, AWS, Big data processing engines, AWS Glue Data Catalog
Skills:
Sql, Apache Airflow, Compute Engine, Puppet, DataFlow, Ansible, BigQuery, Dataproc, Python, Iam, Terraform, Prefect, Cloud SQL, Google Cloud Storage, Cloud Composer, Control-M, Cloud Data Fusion
Skills:
Python, Sql, Java, Spring Boot, Hibernate, Rest Api, AWS
Skills:
Pyspark, Azure, Python, Sql, problem-solving skills
Skills:
MongoDB, Postgres, Redshift, Python, Sql, Tableau, Airflow, Metabase