big data software engineer

Tech Interacts Inc

<p><b>Big Data Engineer</b></p><p><b>Charlotte, NC(Hybrid) </b></p><p><b>W2 | Local only </b></p><p><b>NO OPT/CPT/H1</b></p><p><b>Job Description:</b></p><ul><li>Experience with Big Data platforms/tools (Linux, HDFS, Hive, Hortonworks, Spark, Scala, Python, Java, Kafka, etc.)</li><li>Experience with API&rsquo;s, reading from and/or designing new</li><li>Ability to write SQL and interact with data</li><li>Data processing experience (Join, Merge, Transform, Summarize, etc.)</li><li>Ability to design and create data control checks and</li><li>Experience with scheduler tools like Autosys</li><li>Familiar with the Banking Financial Crimes domain</li></ul><p><b>Required Skills:</b></p><p><b>Over 10+ years </b></p><p>Top Skills: Big Data Developer (Spark, Scala, Python, AutoSys, Git, etc.)</p><ul><li>Years of Experience: 5 years of Big Data process development and job scheduling</li><li>Education: Bachelor&rsquo;s degree in Science or higher</li><li>Work Environment: Daily Agile Scrum team stand-ups</li><li>Communication: Strong verbal and written communication skills</li><li>Accountability: Ability to lead initiatives end to end, including solution design, development, testing, and deployment</li></ul><p><b>Desired Skills:</b></p><ul><li>Good‑to‑Have Skills: General Data Development experience (SQL, ETL, Linux scripting, etc.)</li><li>Domain Expertise: Experience with Financial Crime Compliance and related data processing.</li></ul><p>Pay: From $60.00 per hour</p><p>Work Location: Hybrid remote in Charlotte, NC 28202</p>

Big Data Engineer

Hexaware Technologies

Role Big Data Engineer Responsibilities Implement Data integration and Data Warehouse based solutions using Big Data Technologies. Should be highly proficient in the use of Big Data / Open Source Technologies and standard techniques of Data Integration; Data Manipulation with hands-on contribution. Should be able to develop cost efficient and performant data pipelines in the cloud platform In-depth understanding of modern big data technology; including Data modeling and machine learning skills Knowledge of real time data streaming and aggregation architectural patterns and practice Essential Skills: 3+ Years hands on knowledge on SQL as well as SQL/NoSQL databases Proficient in programming languages such as Python and PySpark/Scala/Java Experience with Apache Spark in On-prem / Cloud (Databricks / EMR / DataProc HDInsight) Working knowledge of API development Experience in building data pipelines in ETL/ELT methods Experience with integration of data from multiple data sources Experience in one of the NoSQL databases; such as HBase; Cassandra; MongoDB

<div><p><b>Title:</b></p>
Big Data Systems Engineer<p></p><p><b>
Belong, Connect, Grow, with KBR!</b></p><p>
KBR&rsquo;s National Security Solutions (NSS) team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country&rsquo;s most critical role &ndash; protecting our national security.</p><p></p><p>
KBR is seeking a Big Data Systems Engineer to join our team. The successful candidate will be part of the KBR team supporting the Test Resource Management Center&rsquo;s (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs.</p><p></p><p><b>
Responsibilities:
</b></p><ul><li>The Big Data Systems Engineer will work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test &amp; Analysis Suite (CHEETAS) at multiple DoD ranges and labs.</li><li>
As a Big Data Systems Engineer, you will be a critical part of our technical team responsible for deploying CHEETAS within customer environments. You will be the frontline interface that customers will have when first experiencing CHEETAS within their DoD Range and lab environments.</li><li>
This position will require you to work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise.</li><li>
You will deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity.</li><li>
Work on the deployment and integration of a highly visible data analytic project called Cloud Hybrid Edge-to-Enterprise Evaluation Test &amp; Analysis Suite (CHEETAS) at multiple DoD ranges and labs</li><li>
Deploy CHEETAS within customer environments</li><li>
Work closely with system administrators and software developers to communicate, document and ultimately resolve deployment issues as they arise</li><li>
Deploy CHEETAS within disparate DoD testing Ranges and acquisition programs environments (on different non-standard hardware stacks and integrated into different existing ecosystems) sometimes located within DoD vaults with no outside internet connectivity</li></ul><p></p><p><b>
Work Environment:
</b></p><ul><li><b>Location:</b> Remote - The candidate can either work in one of KBR&rsquo;s facilities or work from home, with a stable internet connection.</li><li><b>
Travel Requirements:</b> This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the US (including Alaska and Hawaii).</li><li><b>
Working Hours:</b> Standard</li></ul><p></p><p><b>
Basic Qualifications/Knowledge:</b></p><ul><li>
Must have an active TS/SCI Security Clearance to be considered for this position.</li><li>
This position requires a bachelor's degree in a STEM Computer Science, Data Science, Statistics or related, technical field, and 10 years of DoD experience. <b>Entry level Big Data Engineers will NOT be considered due to the breadth of knowledge necessary to be successful in the position.</b></li><li>
Previous experience must include three (3) years of hands-on experience in the integration with and configuration of: SQL Server Big Data Cluster, CentOS, Ubuntu, RedHat, Windows Server, VMWare, etc.)</li><li>
Previous experience must include five (5) years of hands-on experience in big data environments.</li><li>
Must be adept at deploying and configuring Big Data and Knowledge Management tools in an enterprise environment.</li><li>
Must have extensive technical expertise in the configuration and troubleshooting of big data ecosystems.</li><li>
Must have excellent written and verbal communication skills and be comfortable assisting customers with installation and configuration of their big data infrastructure.</li><li>
Must have strong troubleshooting skills and the ability to become a CHEETAS deployment subject matter expert.</li><li>
Must be comfortable working with a wide range of stakeholders and functional teams at various levels of experience.</li><li>
Excellent interpersonal skills, oral and written communication skills, and strong personal motivation are necessary to succeed within this position.</li><li>
Experience with installation, configuration, integration with and usage of the following tools and technologies: NFS, SMB, S3, SQL Server, Windows Server, Windows 10/11, Linux (CentOS, Ubuntu, RedHat).</li><li>
Must be prepared to learn new business processes or CHEETAS application nuances every Agile sprint release (roughly every 6 weeks) prior to deploying to customer sites.</li><li>
Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required.</li><li>
Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level is required.</li><li>
Ability to work independently and provide appropriate recommendations for optimal design, analysis, and development.</li><li>
Excellent verbal communications skills are required, as the Integration Engineer will be in frequent contact with the project technical lead, be taking direction from various government leads, and will frequently be interacting with end users to gather requirements and implement solutions while away from other team members.</li><li>
Excellent testing, debugging and problem-solving skills are required to be successful in this position.</li><li>
Experience designing, building, integrating with and maintaining both new and existing big data systems and solutions.</li><li>
Ability to speak and present findings in front of large groups.</li><li>
Ability to document and repeat procedures.</li><li>
This position is anticipated to require travel of 25% with surges possible up to 50% to support end users located at various DoD Ranges and Labs across the United States.</li></ul><p></p><p><b>
Preferred Qualifications:
</b></p><ul><li>Experience working in government/defense labs and their computing restrictions.</li><li>
Experience working with major DoD acquisition programs.</li><li>
Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC) and distributed testing and training.</li><li>
Experience with working in distributed team environment.</li><li>
Ability to teach and mentor engineers with a variety of skill levels and backgrounds.</li><li>
Knowledge of DoD cybersecurity policies.</li></ul><p></p><p><b>
Basic Compensation:
</b></p><p><b>$142,400 - $180,000 (For the Denver, CO Area only)</b></p><p><b>
$148,900 - $200,000 (For the Los Angeles, CA Area Only)</b></p><p><b>
$148,900 - $200,00 (For the Washington, DC Area Only)</b></p><p></p><p>
The offered rate will be based on the selected candidate&rsquo;s working location, knowledge, skills, abilities and/or experience, clearance level, contract affordability and in consideration of internal parity.</p><p></p><p><b>
Additional Compensation:</b></p><p>
KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of a sign on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.</p><p></p><p>
Belong, Connect and Grow at KBR<br>
<br>
At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team&rsquo;s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver &ndash; Together.</p><p></p><p>
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.</p></div><p></p>

Big Data Systems Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>TCS Walk-in Drive at Hyderabad- Synergy Park</p>
<p>
Date- 11-Apr-26</p>
<p>
JD</p>
<p>
</p><div><div><div><div><div>Skills and Experience Required</div><br>
</div><div><ul><li> 3+ years of hands-on experience working with Databricks, Apache Spark, or related big data platforms</li></ul>
<ul><li> Proficiency in programming languages such as Python, Scala, or SQL for data transformation and pipeline development</li></ul>
<ul><li> Hands-on experience with Spark SQL, Delta Lake, Lakeflow Spark Declarative Pipelines and Unity Catalog</li></ul>
<ul><li> Strong understanding of ETL/ELT workflows, data modeling, and data warehousing concepts</li></ul>
<ul><li> Experience with cloud platforms (Azure, AWS, or GCP)</li></ul>
<ul><li> Familiarity with CI/CD practices and version control tools such as Git</li></ul>
<ul><li> Knowledge of data governance, data quality, and security best practices</li></ul>
<ul><li> Excellent problem-solving, analytical, and communication skills.</li></ul>
<ul><li> Ability to work collaboratively in an agile team environment</li></ul>
<ul><li> Databricks certifications are preferred</li></ul><br>
</div></div><br>
<div><div><div>Responsibilities</div><br>
</div><div><ul><li> Implement data ingestion, transformation, and integration processes from various structured and unstructured data sources</li></ul>
<ul><li> Develop, maintain, and optimize scalable data pipelines and workflows on the Databricks platform</li></ul>
<ul><li> Collaborate with analysts and business stakeholders to understand data requirements and deliver solutions</li></ul>
<ul><li> Ensure data reliability, quality, and security across all data engineering processes</li></ul>
<ul><li> Troubleshoot, debug, and resolve data pipeline issues and performance bottlenecks</li></ul>
<ul><li> Document data engineering workflows and technical designs</li></ul>
<ul><li> Monitor and maintain data pipeline health, proactively addressing any potential issues</li></ul>
<ul><li> Stay up-to-date with emerging data engineering technologies and best practices, especially within the Databricks ecosystem</li></ul><br>
</div></div><br>
</div></div><br>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>405018</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python | Scala | SQL | Apache Spark</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Databricks Engineer

LiveRamp

<div><p><b>LiveRamp is the data collaboration platform of choice for the world&rsquo;s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases&mdash;within organizations, between brands, and across its premier global network of top-quality partners.
</b></p><p></p><p><b>Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.</b></p>
<p>
LiveRamp is the data collaboration platform of choice for the world&rsquo;s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases&mdash;within organizations, between brands, and across its premier global network of top-quality partners.</p><p>
Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.</p><p>
Location: Hyderabad</p><p></p><p>
Responsibilities:<br>
5+ years of Java programming and Rest API experience<br>
Work experience with OAuth principles.<br>
Work experience with distributed applications.<br>
Hands on Experience with Kafka or any other messaging queues.<br>
High focus on quality, performance and timely deliverables.<br>
Familiarity with cloud computing systems like GCP, Azure, AWS</p><p><br>
Bonus:<br>
Familiarity with with both batch and stream based data processing.<br>
Prior experience in Adtech or Martech.<br>
Familiarity with big data databases like SingleStore / Big Query, relational databases.<br>
Familiarity with data-observability mechanisms and tools.<br>
Familiarity with big data processing technologies like Apache Spark<br>
Experience on streaming technologies like Red Panda<br>
More about us:<br>
LiveRampers are empowered to live our values of committing to shared goals and operational excellence. Connecting LiveRampers to new ideas and to one another is one of our guiding principles&mdash;one that informs how we hire, train, and grow our global teams across nine countries and four continents. By continually building inclusive, high belonging teams, LiveRampers can deliver exceptional work, champion innovative ideas, and be their best selves. Click here to learn more about Diversity, Inclusion, &amp; Belonging (DIB) at LiveRamp.</p>
<h2 class="jobSectionHeader"><b>
Benefits</b><b>:</b></h2><ul><li><p>
Flexible paid time off, paid holidays, options for working from home, and paid parental leave.</p></li><li><p>
Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, accident, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth, and more. Your medical benefits extend to your dependents including parents.
</p></li></ul><p></p><h2 class="jobSectionHeader"><b>More about us:</b></h2><p></p><h2 class="jobSectionHeader"><b><i>
LiveRamp&rsquo;s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles&mdash;one that informs how we hire, train, and grow our global team across nine countries and four continents. Click </i></b><b><i>here </i></b><b><i>to learn more about Diversity, Inclusion, &amp; Belonging (DIB) at LiveRamp.
</i></b></h2><p></p><p>We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.</p><p><b><br>
To all recruitment agencies</b>: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.</p></div>

Senior Backend Engineer (Big Data)

Deloitte

<div>Our Deloitte AI &amp; Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.<br>
<br>
<b>Work You'll Do</b><br>
<br>
The Palantir Data Engineer will design future-state, modern data architecture, pipelining, and analysis for transformation at the enterprise level using advanced cloud architectural principles. Using tools such as Palantir Foundry, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data pipelining and statistical programming tools to enterprise data to advance and enable key mission outcomes.<br>
<br>
<b>The Team</b><br>
<br>
Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.<br>
<br>
Our AI &amp; Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.<br>
<br>
<b>Qualifications</b><br>
<br>
Required:<br>
<ul><li>
Bachelor's Degree required.
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.</li><li>
1+ years of data science and data manipulation.</li><li>
1+ years of experience with pipeline and application development within Palantir Foundry.</li><li>
1+ years experience working with Palantir Foundry engineers.</li><li>
2 + years of experience as a Data Engineer, Or Data Scientist.
</li><li>Must be able to obtain and maintain required security clearances for the role.</li>
Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve.<br>
<li>
</li></ul><br>
<br>
Preferred:<br>
<ul><li>
2+ years of prior professional services or federal consulting experience.</li><li>
Creativity and innovation - desire to learn and apply new technologies, products, and libraries.</li><li>
Strong written and verbal communication skills.</li><li>
Strong organizational skills.</li></ul><br>
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html<br>
<br>
#LI-MW5</div>

Palantir Data Engineer

HCA Healthcare

<p></p><div><h5 class="jobSectionHeader"><b>This is OUR story... and YOUR next chapter</b></h5>
At HCA Healthcare, our Digital Transformation and Innovation (DT&amp;I) team is redefining what&rsquo;s possible inpatient care. By leveraging the power of artificial intelligence, automation, and digital technologies, DT&amp;I is helping drive meaningful improvements in clinical outcomes, reduce manual workload, and expand the reach of our care teams. If you're passionate about using technology to improve human life, this is where your work truly matters<h5 class="jobSectionHeader"><b>
What you will accomplish in this role</b></h5><p><b>
Job Summary</b></p><p>
The Staff Data Engineer - API serves as a primary development resource for design, writing code, test, implementation, document functionality, and maintain of NextGen solutions for the GCP Cloud enterprise data initiatives. The role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. This role requires &lsquo;self-starters&rsquo; who are proficient in problem solving and capable of bringing clarity to complex situations. The culture of the organization places an emphasis on teamwork, so social and interpersonal skills are equally important as technical capability. Due to the emerging and fast-evolving nature of GCP technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice.</p>
<p>In addition, this candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision. This candidate will have a record of accomplishment of participation in successful projects in a fast-paced, mixed team (consultant and employee) environment. In addition, the applicant must be willing to mentor other developers to prepare them for assuming the responsibilities.
</p><p>As a Staff Data Engineer, you will collaborate closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future success. The position will be critical in building the team&rsquo;s API engineering practices in test driven development, continuous integration, and automated deployment and is a hands-on team member who actively coaches the team to solve complex problems.</p><p><b><br>
</b><b>What you will do:</b></p><p>
The Staff Data Engineer - API serves as a primary development resource for design, writing code, test, implementation, document functionality, and maintain of NextGen solutions for the GCP Cloud enterprise data initiatives. The role requires working closely with data teams, frequently in a matrixed environment as part of a broader project team. This role requires &lsquo;self-starters&rsquo; who are proficient in problem solving and capable of bringing clarity to complex situations. The culture of the organization places an emphasis on teamwork, so social and interpersonal skills are equally important as technical capability. Due to the emerging and fast-evolving nature of GCP technology and practice, the position requires that one stay well-informed of technological advancements and be proficient at putting new innovations into effective practice.</p><p></p><p>
In addition, this candidate will have a history of increasing responsibility in a small multi-role team. This position requires a candidate who can analyze business requirements, perform design tasks, construct, test, and implement solutions with minimal supervision. This candidate will have a record of accomplishment of participation in successful projects in a fast-paced, mixed team (consultant and employee) environment. In addition, the applicant must be willing to mentor other developers to prepare them for assuming the responsibilities.
</p><p></p><p>As a Staff Data Engineer, you will collaborate closely with all team members to create a modular, scalable solution that addresses current needs, but will also serve as a foundation for future success. The position will be critical in building the team&rsquo;s API engineering practices in test driven development, continuous integration, and automated deployment and is a hands-on team member who actively coaches the team to solve complex problems.
</p><p></p><p>At HCA DT&amp;I, your deliverables will influence patient care. Every process, technology, and decision matters. This role will provide application development for specific business environments. Focus on setting technical direction on groups of applications and similar technologies as well as taking responsibility for technically robust solutions encompassing all business, architecture, and technology constraints.
</p><p></p><ul><li>Work with data engineers, data architects, data scientists, and other internal stakeholders to understand product requirements and then design, build, and monitor data platforms and pipelines that meet today's requirements but can gracefully scale.</li><li>
Implement automated workflows that lower manual/operational costs, define and uphold SLAs for timely delivery of data, and move the company closer to democratizing data.</li><li>
Enable a self-service data architecture supporting query exploration, dashboards, data catalog, and rich data discovery.</li><li>
Promote a collaborative team environment that prioritizes effective communication, team member growth, and success of the team over success of the individual.</li><li>
Design and create APIs that accelerate the time from idea to insight.</li><li>
Adheres to and supports API best practices, processes, and standards.</li><li>
Produce high quality, modular, reusable code that incorporates best practices and serves as an example for less experienced engineers.</li><li>
Helps promote and support data security best practices that align with industry standards and regulatory and legal requirements.</li><li>
Help mentor team members on complex data projects and following the Agile process.</li><li>
Help lead data analysis efforts and solution proposals to data related and data architecture problems.</li><li>
Help lead implementation of unit and integration tests and promote and conduct performance testing where appropriate.</li><li>
Be a leader in the HCA data community. Evangelize data engineering best practices and standards, participate, or present at community events, and encourage the continual growth and development of others.</li><li>
Be curious. Be growth minded. Encourage and enable this in others.</li><li>
Demonstrate professional and personal maturity through self-leadership.</li><li>
Build productive and healthy relationships within the department and other teams to foster growth of our culture, our people, and our platforms.</li><li>
Practices and adheres to the &ldquo;Code of Conduct&rdquo; philosophy and &ldquo;Mission and Value Statement.&rdquo;</li><li>
Perform other duties as assigned.</li><li>
Responsible for building and supporting a GCP based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.
</li><li>Work independently, and complete tasks on-schedule by exercising strong judgment and problem-solving skills.</li><li>
Analyze requirements, design AI/ML based solutions, and integrate those solutions for customer environments.</li><li>
Proven experience effectively prioritizing workload to meet deadlines and work objectives.</li><li>
Works in an environment with rapidly changing business requirements and priorities</li><li>
Shares knowledge and experience to contribute to growth of overall team capabilities.</li>
Actively participate in technical group discussions and adopt any modern technologies to improve the development and operations.<br>
<li>
</li></ul><br>
<p></p><h6 class="jobSectionHeader"><b>What qualifications you will need:</b></h6><p>
A successful candidate will have:</p><p></p><ul><li>
Bachelor's degree in computer science, related technical field, or equivalent experience preferred</li><li>
Master's degree in computer science or related field preferred</li><li>
5+ years of experience in Data Engineer required</li><li>
1+ year(s) of experience in Healthcare preferred</li><li>
7+ years of experience in Information Technology required</li><li>
Strong understanding of best practices and standards for GCP or other cloud platform Data process design and implementation.</li><li>
2+ years hands-on experience with GCP platform and experience with many of the following components:</li></ul><p></p><ul><li>Postman, Dynatraceform</li><li>Cloud Run, GKE, Cloud Functions</li><li>Bigtable, Cloud SQL, Cloud Spanner</li><li>BigQuery,Cloud Function</li><li>Cloud Run, CI/CD, Cloud Logging</li><li>Vertex AI, NLP, GitHub</li></ul><p></p><ul><li>
4+ Years of hands-on experience with many of the following components:</li></ul><ul><li>APIs</li><li>Spark Streaming, Kafka</li></ul><p>
SQL, JSON,Avro, Parquet</p><p>
Java, Python, or Scala</p><p>
 Certifications (a plus, but not required):</p><p></p><ul><li>
GCP Cloud Professional Data Engineer</li></ul><p></p><p>
At HCA Healthcare, we are committed to fostering a culture of growth that allows you to build the career of a lifetime. We encourage you to apply for our Staff Data Engineer - APIs today. We review all applications promptly, and qualified candidates will be contacted to continue the process. Join us!</p><p><i>
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</i></p></div>

Staff Data Engineer - APIs

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