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lead data engineer for EPAM project

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Python.Core, SQL, Data Science
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Sorry, the job is expired

We’re looking for a remote Lead Data Engineer with 5+ years of SQL experience and Python proficiency to join our team.

In this position, you will become a part of a new team responsible for an internal accelerator for data migrations into Snowflake. This position requires strong analytical skills and proficiency in Snowflake and SQL in general. Software development in Python will be a big plus.

responsibilities
  • Elaboration of consistent hashing techniques between Snowflake and various RDBMS
    • Mapping of data types between Snowflake and various RDBMS
      • Generation of synthetic test data and basic validations
        • Collaboration with Python software engineer(s)
          • (Optional) Software design and development in Python
            requirements
            • 5+ years of SQL experience
              • Strong analytical and problem-solving skills
                • Self-sufficiency and ability to work with minimal supervision
                  • Hands-on experience with Snowflake
                    • Hands-on experience with at least one of major RDBMS like MS SQL, PostgreSQL, Oracle
                      • Understanding of big data concepts: data partitioning, data quality
                        • Proficient English (written and spoken) B2
                          nice to have
                          • Software development experience in Python is a big plus
                            • Understanding of hashing techniques (MD5, SHA, etc.) is a big plus
                              • Hands-on experience with Spark, PySpark, SparkSQL, Hive SQL is a plus
                                • Hands-on experience with other cloud warehouses like AWS Redshift, Google BigQuery, Azure Synapse Is a plus

                                  benefits for locations

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                                  For you

                                  • Paid time off
                                  • Paid sick leave days
                                  • Stable income
                                  • Meal and home office compensation

                                  For your comfortable work

                                  • 100% remote work 
                                  • Hybrid work opportunities
                                  • Free licensed software
                                  • Possibility to work on your own device (BYOD)
                                  • Stable workload
                                  • Relocation opportunities
                                  • Flexible engagement models

                                  For your growth

                                  • Free trainings for technical and soft skills
                                  • Free access to LinkedIn Learning platform
                                  • Free access to internal and external e-Libraries
                                  • Certification opportunities
                                  • Skill advisory service
                                  • Language courses
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