phData

phData specializes in providing comprehensive data engineering, data strategy, and machine learning services, offering end-to-end managed data solutions that facilitate data migrations, integrations, and the development of modern data products and appl...

IT Services

Information Technology

251-1K (443)

42 open positions

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Senior Data Engineer

3 weeks, 1 day ago

India

Full-time

Mid Level

Data Engineer

Software Development

Apache Airflow Apache Spark AWS Azure Cassandra Databricks dbt Elasticsearch GCP Hadoop HDFS Java Kafka Luigi Python Scala Snowflake Solr SQL

Apply Now

phData

IT Services

251-1K

View All Jobs 42

Description

Develop end-to-end technical solutions and help move them into production.
Ensure solutions meet performance, security, scalability, and data integration standards.
Write, debug, and optimize SQL queries.
Create detailed presentations for clients and stakeholders.
Produce solution documentation, including proofs of concept, roadmaps, sequence diagrams, class hierarchies, and logical system views.
Collaborate in client-facing engagements with clear written and verbal communication.
Work across multiple cloud data platforms and data integration environments.
Support the full software development lifecycle, including design, documentation, implementation, testing, and deployment.

Requirements

At least 4+ years of experience as a Software Engineer, Data Engineer, or Data Analyst.
Programming expertise in Java, Python, and/or Scala.
Experience with core cloud data platforms such as Snowflake, AWS, Azure, Databricks, and GCP.
Strong SQL skills with the ability to write, debug, and optimize queries.
Client-facing written and verbal communication experience.
Experience creating detailed presentations.
Ability to produce detailed solution documentation.
Bachelor's degree in Computer Science or a related field.
Preferred experience in production environments with core data platforms including Snowflake, AWS, Azure, GCP, Hadoop, and Databricks.
Preferred experience with cloud and distributed data storage such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL systems.
Preferred experience with data integration technologies such as Spark, Kafka, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services, or Google DataProc.
Preferred experience working with multiple data sources, including queues, relational databases, files, search, and APIs.
Preferred full software development lifecycle experience, including design, documentation, implementation, testing, and deployment.
Preferred experience with automated data transformation and curation tools such as dbt, Spark, Spark streaming, and automated pipelines.
Preferred experience with workflow management and orchestration tools such as Airflow, AWS Managed Airflow, Luigi, and NiFi.

Interested in this position?

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