Sr Talend Data Engineer

Citizens Bank; Johnston (RI); Hybrid; USD 105,000 - 158,000; Full time

Benefits offered by this job

Medical, dental and vision coverage

Retirement benefits

Education reimbursement

Flexible work arrangements

Wellness programs

Job summary

Citizens Bank is seeking a senior data engineer to design, build and support data warehouses and ETL pipelines across enterprise sources in a hybrid in-office/remote setting. You will work independently on architecture, development and remediation of warehouse code, ensuring data quality and governance compliance.

The ideal candidate has 5+ years in data engineering, hands-on experience with Hadoop, AWS services, ETL tools, and SQL on multiple RDBMS.

Qualifications

• Bachelor’s degree in analytics, mathematics, statistics, or CS.
• Hands on experience in building data solutions in big data/cloud platforms.
• Experience with Hadoop ecosystem (HDFS, Hive, PIG, Hbase).
• Experience with ETL/ELT tools and building/enhancing ETL framework.
• RDBMS experience with major systems (Teradata, Oracle, MS-SQL, DB2, Redshift, Snowflake).
• Scripting: SQL, Python, PL/SQL, Spark, Scala.
• Experience with AWS cloud native services (S3, RDS, Glue, Athena).
• Experience with scheduling tools (Autosys, Tidal, Oozie).
• Version control: Bitbucket/Jira; operating systems knowledge.

Responsibilities

• Be a strong contributor in implementing data integration architecture and solutions.
• Conduct source system/data analysis and data profiling.
• Build robust data pipelines to collect, process and compute metrics from financial sources.
• Design data pipeline architecture and map data transformation rules.
• Collaborate with cross-functional teams to meet data demands.
• Execute unit tests and validate data quality in targets.
• Coordinate with business users for UAT and deployments.
• Adhere to change management and regulatory requirements.

Skills

Strong communicator

Attention to detail

Team collaboration

5+ years professional experience

Education

Bachelor's Degree in Analytics, Mathematics, Statistics or Computer Science

Tools

Hadoop ecosystem

ETL tools (Talend, Datastage, Informatica, Sqoop)

AWS services (S3, RDS, Glue, Athena)

RDBMS (Teradata, Oracle, MS-SQL, DB2, RedShift, Snowflake)

SQL/PL-SQL, Python, Spark

Scheduling tools (Autosys, Tidal, Oozie)

Bitbucket/Jira

Windows/Unix/Linux

Job description

Description

4 Days in the office from any of our locations in RI, Iselin NJ, MA, Pittsburgh PA, Nashville TN, and couple other locations

Role is not relocation eligible.

At Citizens, we’re more than a bank. Here, you’ll experience new things, create new opportunities, think beyond your role and make an impact!

While in this position, you will work independently while engaging in the design, model and implementation of enterprise data warehousing activities in support of projects and defect remediation process. You will also, participate in and lead segments in the programming and configuration of warehouses on database, and provide independent support to warehouse users. You will also assist with designing, implementing and supporting solutions that meet business requirements related to data warehouses, data marts or operational data stores primarily using ETL. Lastly, you will work with application architects to implement enhancements to systems and remediate existing code.

Most importantly, you’ll feel valued for who you are and supported to achieve what’s important to you, personally and professionally!

Primary responsibilities include

• Be a strong contributor in implementing data integration architecture and solutions.
• Conduct source system/data analysis and data profiling.
• Build robust data pipelines to collect, process and compute different metrics from various financial sources, adhering to quality and development standards.
• Design application architecture / technical design and articulate the data pipeline solutions to team members.
• Data mapping from source to target and define transformation rules that meet the models created by data Architects.
• Collaborate with cross functional team members as necessary and come up with optimal solutions that meet data demands.
• Execute unit test of data populated in target data container, validate expected result and ensure quality & accuracy.
• Coordinate with business users for user acceptance test and with operations team for code deployment to upper environments.
• Follow change management team stipulations on path to production requirements and strictly adhere to the compliance and regulatory needs.

Qualifications, Education, Certifications and/or Other Professional Credentials

• Required Qualifications
  • Bachelor's Degree in Analytics, Mathematics, Statistics or Computer Science
  • Hands on experience in building data solutions in big data / cloud platforms.
  • Experience with Hadoop ecosystem (HDFS, Hive, PIG, Hbase, Hiveql etc.)
  • Experienced in ETL/ELT tools such as Talend, Datastage, Informatica, and Sqoop as well as building/enhancing ETL framework.
  • RDBMS experience in either of Teradata, Oracle, MS-SQL, DB2, RedShift, Snowflakes, etc.
  • Scripting language (shell scripting, SQL, PL/SQL, Python, Java , Spark, Scala)
  • Experience with AWS cloud native services such as S3, RDS, Glue, Athena, etc.
  • Worked with any of the scheduling tools (Autosys, Tidal, Oozie)
  • SCM tool such as Bitbucket with Jira, Starteam or SVN.
  • Experience working with various operating systems (Windows, Unix/Linux, IBM Mainframe)
  • Strong communicator and collaborator with attention to details.
  • Performance tuning and optimization of code and peer code reviews.
  • 5+ years of professional work experience as described above.
• Preferred Qualifications
  • BigData Technology/AWS/Agile Certifications
  • Data engineering experience for Data science projects where Machine learning is used (R, SAS, etc.)
  • Experience in the financial services industry, especially banking.
  • Business Intelligence/Reporting development experience using tools such as Tableau, Cognos, SAS, etc.
  • Code commits to any Open source data tools.
  • Experience with handling structured, semi-structured and unstructured data.

Hours & Work Schedule

• Hours per Week: 40
• Work Schedule: Monday - Friday

• Hybrid schedule: 4 days in office, 1 day WFH is required for this role.

• Pay Transparency

• The salary range for this position is $ 105,100 - $157,680 per year plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.

• We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens’ paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.