Remote Data Engineer

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Encora

📍Remote - India

Job highlights

Summary

Join our team at Encora as a Senior Data Engineer to collaborate with Business Analyst teams, integrate new data sources into our ecosystem, and implement data lake solutions.

Requirements

  • 6-10 years of strong development experience performing ETL and/or data pipeline implementations
  • Python, Pyspark, AWS, EMR, Airflow, Data engg. SQL, Batch and Realtime data applications, building observability / metrics endpoints, ES, DevOps, CI/CD, GitHub, basic SOX/IT compliance knowledge
  • Expert in programming languages, preferably Python
  • Expert in delivering end-to-end analytic solutions using AWS services (EMR, Airflow, S3, Athena, Kinesis, Redshift)
  • Experience in batch technologies like Hadoop, Hive, Athena, Presto
  • Strong SQL skills, including query optimization, schema design, complex analytics
  • Expert in data modeling and metadata management like Glue Catalog etc
  • Experience in deployment tools like GitHub actions, Jenkins, AWS Code Pipeline etc
  • Experience in data quality tools like Deque or Great Expectations is Nice To Have

Responsibilities

  • Collaborate and partner with Business Analyst teams located in US and EMEA regions
  • Interface across our Business Analyst and Data Science teams
  • Play a key role in integrating new data sources into our data & analytical ecosystem over AWS cloud
  • Implement data lake solutions while addressing common data concerns, such as data quality, data governance
  • Set the standard for technical excellence as we move / build our data ecosystem into the cloud
  • Understanding their common data problems and deliver scalable solutions

Job description

Description

Important Information

Location: Bangalore

Experience: 6+ years

Job Mode: Full-time

Mode of work: Hybrid/Remote

Job Summary:

  • Collaborate and partner with Business Analyst teams located in US and EMEA regions.
  • Interface across our Business Analyst and Data Science teams.
  • Play a key role in integrating new data sources into our data & analytical ecosystem over AWS cloud
  • Implement data lake solutions while addressing common data concerns, such as data quality, data governance
  • Set the standard for technical excellence as we move / build our data ecosystem into the cloud
  • understanding their common data problems and deliver scalable solutions

Responsibilities and Duties         :

  • 6-10 years of strong development experience performing ETL and/or data pipeline implementations.
  • Python, Pyspark, AWS, EMR, Airflow, Data engg. SQL, Batch and Realtime data applications, building observability / metrics endpoints, ES, DevOps, CI/CD, GitHub, basic SOX/IT compliance knowledge
  • Expert in programming languages, preferably Python.
  • Expert in delivering end-to-end analytic solutions using AWS services (EMR, Airflow, S3, Athena, Kinesis, Redshift).
  • Experience in batch technologies like Hadoop, Hive, Athena, Presto.
  • Strong SQL skills, including query optimization, schema design, complex analytics.
  • Expert in data modeling and metadata management like Glue Catalog etc.
  • Experience in deployment tools like GitHub actions, Jenkins, AWS Code Pipeline etc.
  • Experience in data quality tools like Deque or Great Expectations is Nice To Have.

About Encora :

Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.

At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

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