Remote Lead Data Engineer vacancy | EPAM Anywhere
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Lead Data Engineer for EPAM Project

Lead Data Engineer for EPAM Project 40 hrs/week, 12+ months

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

                        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

                                We offer

                                • Competitive compensation depending on experience and skills
                                  • Work on enterprise-level projects on a long-term basis
                                    • Full-time remote work
                                      • Unlimited access to learning resources (EPAM training courses, English classes, Internal Library)
                                        • Community of 38,000+ industry's top professionals
                                          Python.Core
                                          SQLData Science

                                          Benefits in eligible locations

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                                          For you

                                          • Voluntary health insurance for you (100% covered) and your family (with corporate discount)
                                          • Individual sessions with professional psychologists and coaches
                                          • Free corporate sports and wellness programs
                                          • Stable income
                                          • Paid time off
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                                          For your comfortable work

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

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

                                              40 hrs/week

                                              Hours per week

                                              12+ months

                                              Project length

                                              Belarus, Colombia, Italy, Mexico, Russia, Ukraine

                                              Locations eligible for the position