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Data Engineer
FinacPlus provides virtual business process services to various types of overseas clients and this position is to be part of the team which provides IT services to a leading provider of data, insights, and technology solutions to the structured finance, banking markets and company is based in U.S.A
Responsibilities:
· Demonstrate data engineering expertise in building reliable data products
· Ability to quickly learn, understand, and work with new emerging technologies, and methodologies
· A drive to work on financial data systems & pipelines including experience working with large datasets
· Work effectively with other engineers, product managers in a collaborative environment
· Involve in identifying data quality issues and apply techniques to improve the same
· Identify critical infrastructure dependency/updates and work to plan those tasks
· Understand the requirements of stakeholders to build optimal solutions for various data challenges
Qualifications:
· Bachelor's or Master's degree in computer science or in a related field
· 6+ years of industry experience building backend software and/or data systems
· 3+ years of experience with Python or Java, or Scala
· 3+ years of experience with SQL
· Experience with cloud services like AWS and/or GCP
· Experience building data pipelines using Spark/Airflow
· Experience with Agile and SDLC, Git workflows, and CI/CD
· Strong understanding of data engineering concepts
Preferred Skills:
· Analyze, design, and implement interactive RESTful services and APIs
· Exposure to pub-sub messaging systems like Kafka
· Exposure to IaaS like Terraform
· Understanding of serverless architectures, and containers
· Good written and verbal communication skills.
LOCATION: Work from Home
TIMINGS: 2: 00 PM to 11: 00 PM IST
SALARY RANGE: Best in Industry
Job ID: 126880109
Skills:
Document Databases Working knowledge of MongoDB, ETL Tools Proficiency in Ab Initio GDE EME Co Operating System, Unix Linux Scripting, SQL PL SQL Querying, Testing QA Exposure to SIT E2E and OAT testing cycles, Messaging Systems Experience with IBM MQ Apache Kafka, Agile Delivery Experience with JIRA, Scheduling Tools Familiarity with Tivoli Workload Scheduler TWS, Security Compliance Awareness of access control vulnerability assessments
Skills:
Power Bi, Scala, Azure Databricks, Data Warehouse, Sql, Azure Data Factory, Spark, Python, Azure DevOps, Azure Data Lake Storage, Synapse Analytics, Delta Lake
Skills:
Metadata Management, Databricks, Python, Data lineage techniques, Master data management, Data modeling methodologies, Big Data storage architecture
Skills:
BigQuery, DataFlow, Python, Sql, API scripting, Airflow, Composer DAGs, Google Cloud SDK
Skills:
Oracle Cloud, RDBMS, Power Bi, Tableau, Workday, Sql, Salesforce