Data Engineer

1 week ago


Mumbai, Maharashtra, India ImpactGuru Full time

Job Description:
We are seeking a highly skilled Data Engineer to join our dynamic team.

The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives.

You will work closely with cross-functional teams to gather requirements, implement data solutions, and ensure data quality and integrity.

Responsibilities:

  • Design, build, and maintain efficient and reliable data pipelines to move and transform data from various sources to our data warehouse.
  • Collaborate with data scientists and analysts to understand data requirements and implement solutions that meet business needs.
  • Optimize and tune existing data pipelines for performance and scalability.
  • Implement data governance processes to ensure data quality, consistency, and security.
  • Troubleshoot data issues and perform root cause analysis.
  • Stay current with emerging technologies and trends in data engineering and recommend adoption of new tools and techniques as appropriate.

Required Skills:

  • Bachelor's degree in Computer Science, Engineering, or a related field. (Master's degree preferred)
  • Proven experience as a Data Engineer or similar role with minimum 2+ years of experience.
  • Strong proficiency in SQL and experience with relational database systems (e.g., PostgreSQL, MySQL).
  • Experience with distributed computing frameworks such as Apache Spark or Hadoop.
  • Proficiency in at least one programming language such as Python, Java, or Scala.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Familiarity with data modeling concepts and ETL processes.
  • Strong analytical and problemsolving skills.
  • Excellent communication and collaboration skills.
  • Ability to work independently and in a team environment.

Preferred Skills:

  • Experience with NoSQL databases (e.g., MongoDB, Cassandra).
  • Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
  • Familiarity with realtime streaming technologies (e.g., Apache Kafka, Apache Flink).
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Certification in relevant technologies (e.g., AWS Certified Big Data
  • Specialty, Google Professional Data Engineer).


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