CapTech Consulting Senior Data Engineer (AWS, Azure, GCP) \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Senior Data Engineer (AWS, Azure, GCP) Full-time Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve whats possible through the power of technology. At CapTech, were passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sourcesin order to enabledecision-makers.We build pipelines and prepare data for use by data scientists, data analysts, and other data systems.We love solving problems and providing creative solutions for our clients.Cloud Data Engineers leverage the clients cloud infrastructure to deliver this value today and to scale for the future.We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. The Value You Deliver (or What Youll Do) Be trusted advisor to customers with best practices, methodologies, and technologies to implement data engineering solutions. Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies. Partner with product owners and business SMEs to analyze customer requirements and provide a supportable and sustainable engineered solution. Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs. Stay current with the latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to key stakeholders. Qualifications Experience building/operating highly available distributed systems of data extraction, ingestion, and processing large data sets 5+ years of experiencedelivering data engineering solutionson cloudplatform 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP) Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion) Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks 5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery) Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs) 5+ years of experience with at least one programming language (Python, Java, R, C / C# / C++, Shell) Familiarity with one or more DevOps tools (git, Jenkins, CI/CD, Jira) Fundamental understanding of big data, open source, and data streaming concepts Abilityto think strategically and provide recommendations utilizingtraditional and modern architectural componentsbased on business needs Experience providing technical leadership and mentoring other engineers in data engineering space Cloud certification on any platform a plus Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions.  You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way.  Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, weve launched extended benefits to help meet our employees needs. Learning & Development Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through lifes ups and downs Carrot Fertility Inclusive fertility and family-forming coverage for all paths to parenthood including adoption, surrogacy, fertility treatments, pregnancy, and more and opportunities for employer-sponsored funds to help pay for care Fringe A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups  Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships  Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness each foundational to our core values.  We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE.  As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. 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The role requires experience building and operating highly available distributed systems for data extraction, ingestion, and processing of large datasets. Candidates need at least 5 years of experience delivering data engineering solutions on a cloud platform, specifically implementing modern designs using AWS, Azure, or GCP. Proficiency in at least one ETL/Data Orchestration technology is necessary, along with experience in cloud-based data warehousing and data lake solutions. A minimum of 5 years of experience with SQL or NoSQL databases and expertise in SQL, database design, and data structure are also required. Additionally, 5 years of experience with at least one programming language such as Python or Java is needed, along with familiarity with DevOps tools. A fundamental understanding of big data, open source, and data streaming concepts is important. The position also involves providing technical leadership and mentoring other engineers. Cloud certification on any platform is considered a plus.