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Databricks / AWS Lead Software Engineer Job Opening In Columbus – Now Hiring JPMorgan Chase


Job description

At JPMorgan Chase, you'll have the opportunity to advance your career and push the boundaries of data engineering by developing innovative, secure solutions that transform financial services.
Join us as a Lead Data Engineer on the Corporate Data Technology Team.

Become an integral part of an agile team dedicated to enhancing, building, and delivering trusted market-leading technology products in a secure, stable, and scalable way.

As a core technical contributor, you will be responsible for conducting critical technology solutions across multiple technical areas within various business functions, supporting the firm's business objectives.

**Job Responsibilities**

+ Execute creative software and data solutions, including design, development, and technical troubleshooting, by thinking beyond routine or conventional approaches to build solutions or break down technical problems.
+ Develop secure, high-quality production code and data pipelines, reviewing and debugging processes implemented by others.
+ Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems.
+ Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
+ Work with business stakeholders to understand requirements and design appropriate solutions, producing architecture and design artifacts for complex applications.
+ Implement robust monitoring and alerting systems to proactively identify and address data ingestion issues, optimizing performance and throughput.
+ Implement data quality checks and validation processes to ensure accuracy and reliability of data.
+ Design and implement scalable data frameworks to manage end-to-end data pipelines for workforce data analytics.
+ Share and develop best practices with Platform and Architecture teams to improve data pipeline framework and modernize the workforce data analytics platform.
+ Gather, analyze, and synthesize large, diverse data sets to continuously improve capabilities and user experiences, leveraging data-driven insights.
+ Lead and contribute to software engineering communities of practice and events that explore new and emerging technologies, fostering a culture of diversity, opportunity, inclusion, and respect.

**Required Qualifications, Capabilities, and Skills**

+ Formal training or certification on software engineering concepts and 5+ years applied experience.
+ 7+ years of experience in data engineering, including design, application development, testing, and operational stability.
+ Advanced proficiency in data processing frameworks and tools, including Parquet, Iceberg, PySpark, Glue, Lambda, Databricks, and AWS data services (EMR, Athena, Redshift).
+ Proficiency in programming languages such as Python, Java, or Scala for data processing and application development.
+ Extensive hands-on experience with Databricks, including architecting and managing large-scale data pipelines, optimizing Spark jobs, implementing security and governance controls, and automating workflows.

Proven ability to leverage Databricks for advanced analytics, data lakehouse architectures, and seamless integration with AWS or other cloud services.
+ Proficiency in automation and continuous delivery methods, utilizing CI/CD pipelines with tools like Git/Bitbucket, Jenkins, or Spinnaker for automated deployment and version control.
+ Hands-on practical experience delivering system design, application development, testing, and operational stability, with advanced understanding of agile methodologies, application resiliency, and security.
+ Demonstrated proficiency in software applications and technical processes within technical disciplines such as cloud, artificial intelligence, machine learning, and mobile.
+ Leverage AI agents and tools, such as Co-Pilot, to enhance productivity, code quality, and problem-solving in engineering tasks.
+ Experience with scheduling tools like Autosys or Airflow to automate and manage job scheduling for efficient workflow execution.

**Preferred Qualifications, Capabilities, and Skills**

+ AWS Certifications.
+ Databricks Certifications.
+ Proficiency in relational databases (Oracle or SQL Server).
+ Skilled in writing Oracle SQL queries utilizing DML, DDL, and PL/SQL.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands.

Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.

Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.

We also offer a range of benefits and programs to meet employee needs, based on eligibility.

These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.

We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Required Skill Profession

Other General


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Unlock Your Databricks AWS Potential: Insight & Career Growth Guide


Real-time Databricks AWS Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Databricks AWS in Columbus, United States, highlighting market share and opportunities for professionals in Databricks AWS roles.

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6. Respect for human rights

7. Obeying United States laws and regulations

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JPMorgan Chase interview tips for Databricks / AWS Lead Software Engineer

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Dress Professionally: Choose attire appropriate for the company culture.

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