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Sr DataStage ETL DeveloperBanking

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Job Location drjobs

Re - Norway

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

Title Sr. DataStage / ETL Developer/Banking

Salary $140K Target

Candidates must be able to go full time from day one.

Candidates must me local to the New York City or Troy MI or Clevland OH area and commute into the city three times a week. NO RELOCATION CONSIDERED. Please send candidates even if they are over the target rate. Client is flexible.

** PLEASE Only send candidates in the New York City or Troy MI or Clevland OH area.

**We need A senior (10 years) DataStage ETL developer with 10 years of experience designing developing testing and implementing Extract Transform and Load (ELT/ETL) solutions using DataStage as well as experience developing and implementing data integration data lake and data warehouse solutions in an onpremise and cloud environments. ****CANDIDATES NEED TO HAVE BANKING OR FINANCIAL SERVICES EXPERIENCE.

Interview Process: Video

Location: New York City or Troy MI or Clevland OH No Relocation Candidates must be onsite day one and go into the office three times a week.

Job Description:

The Sr. DataStage Developer is responsible in understanding and supporting the businesses through the design development and execution of Extract Transform and Load (ELT/ETL) data integration and data analytics processes across the enterprise. He/She will stay on top of tech trends experiment with and learn new technologies contribute to the growth of data organization participate in internal & external technology communities and mentor other members of the team. Provide technical leadership at every stage of the data engineering lifecycle from designing data platforms data pipelines data stores and gathering importing wrangling querying and analyzing data. The Sr data engineer will work closely with various customers including their immediate project teams business domain experts and other technical staff members. Work daily within a project team environment taking direction from project management and technical leaders. Responsible for design development administration support and maintenance of the Snowflake Platform and Oracle Platform. Participates in the full systems life cycle and cloud data lake/data warehouse design and build including recommendation of code development integration with data marketplace or reuse and buy versus build solutions.

Job Responsibilities:

  • Technical Leadership Lead data integration across the enterprise thru design build and implementation of large scale high volume high performance data pipelines for both onprem and cloud data lake and data warehouses. Lead the development and documentation of technical best practices for ELT/ETL activities. Also oversee a program inception to build a new product if needed.
  • Solution Design Lead the design of technical solution including code scripts data pipelines processes/procedures for integration of data lake and data warehouse solutions in an operative IT environment.
  • Code Development Ensures data engineering activities are aligned with scope schedule priority and business objectives. Oversees code development unit and performance testing activities. Responsible to code and lead the team to implement the solution.
  • Testing Leads validation efforts by verifying the data at various middle stages that are being used between source and destination and assisting others in validating the solution performs as expected. Meets or exceeds all operational readiness requirements (e.g. operations engineering performance and risk management)
  • Ensure compliance with applicable federal state and local laws and regulations. Complete all required compliance training. Maintain knowledge of and adhere to Flagstars internal compliance policies and procedures. Take responsibility to keep up to date with changing regulations and policies.
  • Job Requirements:

    • 10 years of experience designing developing testing and implementing Extract Transform and Load (ELT/ETL) solutions using DataStage.
    • 10 years of experience developing and implementing data integration data lake and data warehouse solutions in an onpremise and cloud environment.
    • 10 years of experience with various Software Development Life Cycle methods such as Agile SCRUM Waterfall etc.
    • 3year experience in 100 TB data environment.
    • Proven experience developing and maintaining data pipelines and ETL jobs using IBM DataStage Informatica Matillion FiveTran Talend or Dbt.
    • Knowledge of AWS cloud services such as S3 EMR Lambda Glue Sage Maker Redshift & Athena and/or Snowflake.
    • Experienced in data modelling for selfservice business intelligence advanced analytics and user application.
    • Ability to communicate complex technical concepts by adjusting messaging to the audience: business partners IT peers external stakeholders etc.
    • Proven ability to design and build technical solutions using applicable technologies; ability to demonstrate exceptional data engineering skills.
    • Ability to prioritize work by dividing time attention and effort between current project workload and ongoing day to day activities.
    • Demonstrates strength in adapting to change in processes procedures and priorities.
    • Proven ability to establish a high level of trust and confidence in both the business and IT communities.
    • Strong teamwork and interpersonal skills at all management levels.
    • Proven ability to manage to a project budget.
    • Experience applying agile practices to solution delivery.
    • Must be teamoriented and have excellent oral and written communication skills.
    • Strong analytic and problemsolving skills.
    • Good organizational and timemanagement skills.
    • Experience in Strategic Thinking and Solutioning.
    • Must be a selfstarter to understand existing bottlenecks and come up with innovative solution.
    • Demonstrated ability to work with key stakeholders outside the project to understand requirements/resolve issues.
    • Experience with data model design writing complex SQL queries etc. and should have a good understanding of BI/DWH principles.
    • Expertise in Relational Database Management System Data Mart and Data Warehouse design.
    • Expertlevel SQL development skills in a multitier environment.
    • Expertise in flat file formats XML within PL/SQL and file format conversion.
    • Strong understanding of SDLC and Agile Methodologies.
    • Strong understanding of model driven development.
    • Strong understanding of ETL best practices.
    • Proven strength in interpreting customer business needs and translating them into application and operational requirements.
    • Strong problemsolving skills and analytic skills with proven strength in applying root cause analysis.

    Employment Type

    Full Time

    Company Industry

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