Mid / Senior
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In Office / Hybrid
Meytier Premier Employer
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{"group":"Organization","title":"Lead Data Engineer","skills":"<p>Bachelor’s degree in Computer Science or Engineering, preferably with <s>Data Science specialty, or equivalent training and experience</s></p><p><s>5+ years of experience in </s>Data engineering discipline implementing data lake, data warehouse, and Reporting & Analytics development (preferably on Azure) using Tools like Power BI or similar tool.</p><p>Sh<s>ould have experience in architecting large-scale cloud data warehouses.</s></p><p><s>10+ years of experience in advanced SQL scripting, the related tools and technologies.</s></p><p><s>Strong working experience with Big Data technologies (Spark, Data Bricks) for Data integration, & processing (ingestion, transformation, curation, etc), preferably on </s>Azure cloud, and a clear understanding of how the resources work and integrate with cloud and on-prem.</p><p>Exposure to Azure Fabric is a strong plus.</p><p>High level of proficiency with database and data warehouse development, including replication, staging, ETL, stored procedures, partitioning, change data capture, triggers, scheduling tools, cubes, and datamarts.</p><p>Experience working with backend languages such as Python.</p><p>Strong computer literacy and proficiency in data manipulation using Analytics tools/platform like Databricks, Azure Fabric using Spark engine and reporting tools like Power BI.</p><p>Strong analytical, data mining, data modeling, and data management skills, Leadership, and judgment to analyze, evaluate, and develop solutions to complex problems.</p><p>Creative and critical thinking ability; excellent troubleshooting and problem-solving skills</p><p>Self-motivated and driven to produce quality products.</p><p>Ability to work effectively in a collaborative team environment and effectively demonstrate team building attitude and skills</p><p>Demonstrated ability to be flexible and perform a variety of roles such as analyst, tester, and mentor</p> ","zohoId":"","endDate":"2024-01-30T18:30:00.000Z","isDraft":false,"jobType":"Full Time","job_url":"2740-premier-employer-lead-data-engineer","agencyId":1,"benefits":"<h4><strong>Career Development</strong></h4><p><span style=\"color: rgb(51, 71, 91);\">We’re committed to helping you grow your career with AssetMark and offer dedicated learning resources aimed to develop and improve your skills so you can succeed in your role at AssetMark. Additionally, we offer tuition reimbursement benefits for eligible courses and programs, and reimbursement for professional certification programs</span></p><h4><strong>Time Off</strong></h4><p><span style=\"color: rgb(51, 71, 91);\">It’s important to maintain a balance between work and life. That’s why we provide salaried employees with unlimited flexible time off and provide hourly employees with 15 days of paid time off and one floating holiday annually. We also offer employees 10 days of sick time, 10 paid holidays, and a paid volunteer day every year, with additional time to serve jury duty, bond with a new baby or child, and more.</span></p><h4><strong>Retirement & Recognition</strong></h4><p><span style=\"color: rgb(51, 71, 91);\">We value our employees deeply, and we make sure that’s reflected in the benefits we offer. AssetMark employees work every day to support the financial dreams of our clients, and AssetMark’s 401(k) plan makes it easy for employees to do the same with a 6% company match and a range of investment options. Employees are also recognized for their hard work and tenure with anniversary bonuses, recognition bonuses, and quarterly/annual bonuses.</span></p><h4><strong>Health & Wellness</strong></h4><p><span style=\"color: rgb(51, 71, 91);\">We believe your health comes first, which is why we offer comprehensive medical, dental, and vision coverage, along with a tax-advantaged health savings account and flexible spending account options. We also provide a robust wellness program that offers fitness reimbursement, wellness challenges, and rewards to raise awareness and help you reach your wellness goals.</span></p><p><strong>Medical Plans:</strong></p><p>• Moving to a Co-pay/Co-insurance Plan from a Co-Insurance only model • Increased Fertility Coverage • Increased Gender Affirmation benefits to match Transgender WPATH • Enhanced Cigna Travel Benefits for covered, in-network services not currently offered within 100 miles of a member’s location</p><p>Dental Plan:</p><p>• Increased Delta Dental Out of Network Reimbursement to 95% of Usual, Customary and Reasonable amounts (UCR) </p> ","clientId":"35","location":[{"lat":33.748752,"lon":-84.38768449999999,"zip":"","city":"Atlanta","text":"Atlanta, GA, USA","state":"Georgia","country":"United States","is_city":true,"is_state":false,"is_country":false,"state_code":"GA","countryCode":"US","isLocationSet":true,"nearByHexCodes":["8444c1bffffffff","8444c19ffffffff","8444c11ffffffff","8444c13ffffffff","8444ccdffffffff","8444ea7ffffffff","8444ea5ffffffff"],"loc_h3_hex_res4":"8444c1bffffffff","isLocationResolved":true}],"eeocFound":false,"maxSalary":"","minSalary":"","questions":[],"startDate":"2024-01-03T18:30:00.000Z","hiringSPOC":"Amol Todkari, Sneh & Kingston","onBehalfOf":"47","companyName":"Meytier","description":" ","isHybridJob":true,"isRemoteJob":false,"salaryRange":"","titleSkills":[{"keyword":"Data Engineer","node_id":"i10246","removed":false,"node_ptr":[["meytier_root","information technology","software engineering","software development","data management","data engineering"]],"priority":-1,"alignedTF":true,"must_have":false,"node_name":"data engineering","extractedTF":true,"not_a_skill":false,"nice_to_have":false,"nodeAlignedWt":21,"is_industry_term":false,"gender_threshold_yn":"balanced","final_node_fft_weights":{"data management":1},"final_node_skarea_basetype":""}],"otherCohorts":[],"benefitsFound":false,"hiringManager":"Muk Mehta","maxExperience":"10","minExperience":"5","type_of_slate":"job","hiringFunction":["Technology & IT Delivery"],"isOnPremiseJob":true,"onBehalfOfName":"AssetMark","otherlocations":[{"lat":34.651178,"lon":-105.4616722,"zip":"88321","city":"Encino","text":"Encino, NM, USA","state":"New Mexico","country":"United States","is_city":true,"is_state":false,"is_country":false,"state_code":"NM","countryCode":"US","isLocationSet":true,"nearByHexCodes":["8448debffffffff","8448de9ffffffff","8448de1ffffffff","8448de3ffffffff","8448d8dffffffff","8448dc7ffffffff","8448dc5ffffffff"],"loc_h3_hex_res4":"8448debffffffff","isLocationResolved":true}],"blindHiringMode":false,"experienceLevel":"Mid / Senior","numberOfOpenings":"1","otherCohortsName":"","responsibilities":"<p>Work in a highly collaborative team environment following the <s>Agile methodology to assist other department personnel in the successful accomplishment of strategic and divisional objectives. Take the necessary steps to ensure our customers' needs are met to the maximum extent possible in an accurate and timely man</s>ner. Perform hands-on development and collaborate in the data management efforts including operational data to provide a high level of data integrity, security, and availability for internal and external customers.</p><p>Establish and maintain a <s>scalable, extensible, and maintainable architecture for the enterprise data management and analytics system. Summarize enterprise data into an intuitive analysis framework for understanding the current and future performance of the company. Provide the design, development, </s>testing and maintenance of Data ingestion, Curation, and Dissemination processes, Data Engineering activities, Reporting and Analytics dashboards as per the Data Strategy roadmap.</p><p>Collaborate with other business unit leaders for various projects involving enterprise data. Ensure the appropriate capture and retention of enterprise data. Work with Business Analysts to translate various business needs into EDM canonical data mapping, analytics, reporting, and dash-boarding requirements. Educate other business units and Information Technology teams about the analytics and reporting advantages available to them through Business Intelligence.</p><p>Provide expertise to achieve system integration through database design, including data and dimensional modeling, logical and physical table design, complex queries, stored procedures and triggers, data transformation, aggregation, and enterprise application integration.</p><p>Contribute towards the definition of data strategy, implementation of Enterprise Data management and Analytics standards and best practices. Mentor, support, and provide direction to lesser experienced teammates, including Offshore data engineers.</p><p>Identify & deliver the analytical needs of business units by researching and analyzing data from various sources and incorporate data into existing processes and systems as needed by using expert level understanding of how data, technology, and data work together to serve our customers.</p><p>Conduct analysis on datasets, including efficient extraction, transformation, and analysis of complex datasets. Analyze data and information in innovative ways to assist with strategic decisions and optimize process efficiencies. Ensure all necessary data elements are available for model building and strategy analysis.</p><p>Research emerging technologies, trends, and benchmark data to make recommendations to improve customer experience, architecture, processes, and tools.</p><p>Desirable Qualifications:</p><p>Experience with AI/ML models/algorithms.</p><p>Experience providing sound technical advice to leadership and other staff in the subject field(s) related to this position.</p><p>Excellent written, verbal and presentation skills</p><p>Experience with a variety of industry standards regarding Microsoft database development concepts, best practices, and procedures</p><p>Experience with financial services industry is a plus</p><p>Microsoft MCDBA Certified, CBIP or cloud data warehouse certification on Azure Cloud is a strong plus.</p> ","extractedSkillIds":["i10246"],"maxSeniorityLevel":6,"minSeniorityLevel":3,"otherJobReference":"","sharpenedJobTitle":"Lead Data Engineer","job_category_group":"2","growthOppurtunities":[],"educationQualification":"Baccalaureate Degree","skillSenNormalizedTitle":"","extractSkillsFromHereToo":true,"companyTeamJobIntroduction":"<h5><strong>WHO WE ARE</strong></h5><p><br></p><h2><strong>About AssetMark</strong></h2><p><span style=\"color: rgb(51, 71, 91);\">AssetMark is a subsidiary of AssetMark Financial Holdings, Inc. (NYSE: AMK) of which Huatai Securities Co., Ltd. (\"HTSC\") is a majority shareholder. HTSC is a financial services and securities brokerage firm incorporated in China and listed on the Shanghai and Hong Kong stock exchanges.</span></p><p><br></p><p><span style=\"color: black;\">Design, develop, and maintain the Enterprise data, cloud data warehouse and Analytics solutions within AssetMark. Deliver timely, accurate and actionable data critical to the business decision-making process. Facilitate the identification, analysis, development, manipulation and reporting of company data and information to gain knowledge of the factors that affect overall company performance. Provide continuous improvement efforts to enhance data transformation and manipulation, improve performance while providing increased functionality and maintaining availability of production information systems to serve the business needs.</span></p> ","dNIEEOCTextFocusOtherControl":"","expertise_coreskill_or_product":["data engineering"],"displayJobDescriptionSimpleForm":true,"expertise_coreskill_or_product_id":["i10246"],"job_id":"2740"}