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Fast Switch

Data Developer

Fast Switch, Michigan Center, Michigan, United States, 49254


28th October, 2024 Data Developer 1008484 Job Description: Summary The Sr. Data Engineer 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 on-prem 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 solutions 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 for coding and leading 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 our internal compliance policies and procedures. Take responsibility to keep up to date with changing regulations and policies. Job Requirements: High School Diploma, GED, or foreign equivalent required. Bachelor's in computer science, Mathematics or related field 7 years of development experience preferred, or 10 years comparable work experience required. 10 years of experience designing, developing, testing, and implementing Extract, Transform and Load (ELT/ETL) solutions using enterprise ELT/ETL 15 years of comparable work experience. 10 years of experience developing and implementing data integration, data lake and data warehouse solutions in an on-premises and cloud environment. 5 years of experience working with Business Intelligence tools (IBM Cognos is preferred), Power BI and Alteryx. 7 years of experience working with API's, data as a service, data marketplace and data mesh. 10 years of experience with various Software Development Life Cycle methods such as Agile, SCRUM, Waterfall, etc. 3-year 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 self-service business intelligence, advanced analytics, and user application. Experience with Data Science including AI/ML Engineering, ML framework/pipeline build and predictive/prescriptive analytics on Aws Sage maker. Experience with migrating, architecting, designing, building and implementing cloud data lake, data warehouses (cloud/on-prem), data mesh, data as a service, and cloud data marketplace. 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 on-going day to day activities. Demonstrates strength in adapting to changes 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 a project budget. Experience applying agile practices to solution delivery. Must be team-oriented and have excellent oral and written communication skills. Strong analytic and problem-solving skills. Good organizational and time-management skills. Experience in Strategic Thinking and Solutioning. Must be a self-starter to understand existing bottlenecks and come up with innovative solutions. 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. Expert-level SQL development skills in a multi-tier 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 problem-solving skills and analytic skills with proven strength in applying root cause analysis. Experience Level: 5-10 years Additional Info: At FastTek Global, Our Purpose is Our People and Our Planet . We come to work each day and are reminded we are helping people find their success stories . Also, Doing the right thing is our mantra . We act responsibly, give back to the communities we serve and have a little fun along the way. We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years FastTek Global is financially strong, privately held company that is 100% consultant and client focused . We've differentiated ourselves by being fast, flexible, creative and honest . Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies. Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include: Medical and Dental (FastTek pays majority of the medical program) Vision Personal Time Off (PTO) Program Long Term Disability (100% paid) Life Insurance (100% paid) 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match Plus, we have a lucrative employee referral program and an employee recognition culture. FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019 , 2020, 2021, 2022, and 2023 To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork Follow us on Twitter: https://twitter.com/fasttekglobal Follow us on Instagram: https://www.instagram.com/fasttekglobal Find us on LinkedIn: https://www.linkedin.com/company/fasttek You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/