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Sr. Data Engineer (Data Analytics & Ai)

Company

Development Dimensions International, Inc.
Address , Remote
Employment type FULL_TIME
Salary
Expires 2023-07-18
Posted at 11 months ago
Job Description

Fully Remote

Job Type

Full-time

Description


DDI is able to offer remote employment of this position in the following states: AL, AK, AZ, AR, DE, DC, FL, GA, HI, ID, IL, IN, IA, KS, KY, LA, ME, MA, MI, MN, MS, MO, MT, NH, NM, NC, ND, OK, OR, PA, SC, SD, TN, TX, UT, VT, VA, WV, WI, WY

The Senior Engineer is responsible for the design, development, implementation, and support of ETL processes for Data Analytics & AI. Works are part of a team to develop data pipelines, data transformation logic in ADF, python or Scala and other technologies to move data from a variety of operational platforms into Azure cloud. Conduct performance tuning of ETL processes for large and medium volumes of data, develop and oversee monitoring systems to ensure data loads complete on schedule and data is accurate. Assume responsibility for resolving production support incidents on data load processes and related analytic tools. Participate in project scope identification, design, development, testing and deployment-related activities in coordination with other members of the Data team, and across. Develop and improve standards and procedures to support quality development, testing, and production support. Participate in the on-call duty phone rotation. Provide leadership on projects and other Data initiatives as assigned. The Senior Engineer will be competent to complete most Data tasks independently and provide guidance to other members of the team as required. Position requires on-call and off-hours support as needed for operations and projects.

Responsibilities
  • Creates and maintains technical design documentation
  • Solid understanding of work estimation process to lead large/complex estimation activities
  • Conducts testing, code reviews, data integrity, and performance optimization
  • Maintain pipelines in a git repository
  • Lead requirements gathering for data modelling and contribute to data architecture
  • Develops high quality, scalable data pipelines and data processes in Azure distributed cloud environment
  • Creates and promotes writing good quality code for accurate data
  • Learn DDI Domain and contribute to solving data problems in an experienced manner
  • Designs and develops quality Data Warehouse solutions
  • Mentors other team members, cross-trains and provides guidance
  • Meets expectations in meeting deadline within budget, schedule, and appropriate quality
  • Adhere to enterprise architecture standards and contribute to making development and testing standards
  • Contribute to a collaborative work environment within and across teams
  • Supports developers, data analysts, business partners, and data scientists who needs to interact with data platform
  • Responsible for production support, including analyzing root cause and developing fixes to restore ETL and data operational readiness, planning and coordinating maintenance, conducting audits, and validating jobs and data

Requirements

Basic Qualifications (These are the minimum qualifications you need to be considered for the job)

If you have some but not all the requirements listed, please do not count us out. Studies show that some individuals avoid ing for jobs if they do not meet every qualification. At DDI, we are committed to finding the right person for each role, not just checking off a list. We encourage you to as you might be the right fit for this role or other exciting opening
  • Knowledge about BI tools such as power BI or equivalent in supporting Data Warehouse development, testing and operational support activities
  • 5+ years of cloud experience with Azure/AWS and Databricks
  • Thorough knowledge in core data concepts providing solutions for business use cases in distributed computing environment
  • 7+ years of overall experience in Data Warehouse design and data modeling patterns (on-premise or cloud)
  • Bachelor's Degree in Computer Science or a related technical field
  • Well-rounded in working in a DEV Ops environment supporting processes in data platform in supporting business units
  • Must be capable of fully yet concisely articulating technical concepts to non-technical audiences
  • 7+ years of overall experience in developing SQL/Synapse data warehouses and T - SQL coding
  • Excellent written and verbal communication skills
  • 5+ years of experience in developing/supporting a data platform in Azure with data lake, Azure SQL server or Synapse
  • Expert in creating T SQL or pgSQL or PL/SQL or equivalent in processing big data
  • Ability to work independently, handle multiple tasks simultaneously and adapt quickly to change with a variety of people and work styles
  • Strong experience in performance tuning of ADF jobs, SQL, with medium and large volumes of data
  • 5+ years of experience in python or Scala or any other language in distributed cloud environment.
  • Experience working in an agile Data Warehouse team with 5+ members
  • Expert level knowledge in writing python or Scala code in a distributed computing environment handling big data loads in lake house and delta lake environment
  • Strong knowledge in performance improvement methods in data processes
  • Highly skilled in ETL tools such as SSIS, Informatica, Talend, AWS Glue, Azure Data factory or equivalent
  • Keen on learning new concepts and keep up to date with emerging technical stack
  • 5+ years of experience with ETL tools such as ADF or equivalent