Data Engineer
Job Description
Required Skills & Qualifications
• 5–7 years of overall experience in Data Engineering or related field
• Strong SQL expertise (mandatory) – must have 5–6 years of hands-on exp.
• Certification in Databricks or Snowflake (mandatory)
• Databricks certification preferred
• Certification should be recent (within last 1–2 years)
• Basic working knowledge of Python
• Strong problem-solving and analytical skills
More Info
Key Skills
About Company
Skills:
BigQuery, Pyspark, Data Warehousing, Data Modeling, Dataproc, Sql, Jenkins, Cloud Storage, Git, Gcp, DataFlow, Pub Sub, ETL frameworks, GitHub Actions, CI CD pipelines
Skills:
Pyspark, AWS Glue, Data Modeling, Emr, Avro, Autosys, Sql, Cloudwatch, Terraform, Etl Tools, Databricks, Python, AWS, Airflow, Parquet, AWS Lake Formation, Iceberg
Skills:
Power Bi, Pyspark, Agile Scrum, Tableau, Databases, Git, Data Warehousing, Informatica Powercenter, Python, Airflow, Data Lake concepts, Advanced SQL and performance tuning, IICS, dbt, CI/CD
Skills:
Kms, Pyspark, Iam, Sql, Python, AWS Lake Formation
Skills:
containerization , Github, Graphql, Database Development, Data Modeling, Docker, Restful Apis, Python, Index maintenance, Advanced SQL queries, Stored procedures, Query performance tuning, Data warehousing principles, WebSockets