Sr. Data Engineer or Data Architect

Work set-up: 
Full Remote
Contract: 
Full time
Experience: 
Senior (5-10 years)
Work from: 
Asia

Offer summary

Qualifications:

Minimum 6 years of overall experience in data engineering or architecture., At least 4 years of experience with GCP or AWS, preferably GCP., Proficiency in relational and NoSQL databases such as SQL Server, Oracle, MySQL, PostgreSQL, MongoDB, Cassandra., Hands-on experience with Python and ETL processes using tools like Apache Airflow, Apache Nifi, SSIS, or Informatica..

Key responsibilities:

  • Design and develop data pipelines and architectures.
  • Manage data warehouse and data lake environments.
  • Collaborate with teams to implement data solutions in cloud platforms.
  • Work on-site in Bengaluru as required.

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Job description

The candidate should be proficient in the below skill sets:

o 6+ years of overall experience with a minimum of 4 years experience in GCP or AWS. GCP preferred.
o A strong foundation of relational and no relational databases. SQL Server, Oracle, MySQL, PostgreSQL, MongoDB, Cassandra etc.,
o Hands on experience with Python. This is nonnegotiable.
o Demonstrable ETL experience is a must. Apache Airflow Apache Nifi and enterprise ETL tools like SSIS Informatica is a bonus
o Experience working on Data warehouse and data lake environments
o SAP exposure is a huge bonus
o Hadoop experience SparkSQL, Spark scala, Hive, Pig etc

The candidate should be ready to work from office in Bengaluru.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

AWS Cloud ServicesgRPCETL (Extract Transform Load)Python (Programming Language)Oracle CRMPostgreSQLApache PigApache SparkMicrosoft SQL Server Data Engine (MSDE)Apache HadoopMySQLApache CassandraData Warehouse ArchitecturesApache HiveMongoDBData LakesApache AirflowApache NiFiSAP COInformatica
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