data software engineer

EPAM Systems

<div>Join our diverse team as a Lead Data Software Engineer and embark on an exciting journey to craft data systems and solutions.
In this role, you'll be at the forefront of innovation, collaborating closely with our teams to guarantee flawless data integration, impeccable quality, and rock-solid security.
Responsibilities<ul><li>
Design and implement data ingestion solutions using Cloud Native, Big Data related technologies (including configuration management, monitoring, debugging and performance tuning)</li><li>
Manage code review and dev testing of solutions to ensure it meets best practice specifications</li><li>
Build collaborative partnerships with data solution architects and key individuals within other functional groups</li></ul>
Requirements<ul><li>
Solid background in Software Engineering for more than 5 years</li><li>
Advance experienced in Data Software Engineering. PROD experience in building data ingestion pipelines</li><li>
Deep understanding of SQL queries, joins, stored procedures, relational schemas, and SQL optimization</li><li>
Programming Languages: Python/Java/Scala and SQL</li><li>
Cloud-Native stack: Databricks, AWS</li><li>
Big Data stack: Spark Core, Kafka, Kafka Connect, Airflow</li><li>
Motivated, independent, efficient, and able to handle several projects</li><li>
Practical experience in performance tuning, optimization, and problem analysis</li><li>
English proficiency: B2+</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</div>

Lead Data Software Engineer

Uber

<div>About the Role
 
 
As an Engineer on the Data Intelligence team, you will be dealing with large scale data pipelines and data sets that are critical and foundational for Uber to make decisions for better customer experience. You will be working on a petabyte scale of analytics data from the multiple Uber applications. Help us build the software systems and data models that will enable data scientists to understand our user behavior better and thrive on the data driven mindset at Uber. 
 
What the Candidate Will Need / Bonus Points
- What the Candidate Will Do - 
<ul><li>
Responsible for defining the Data Architecture for multiple Uber teams.</li><li>
Identify unified data models collaborating with Data Science teams</li><li>
Streamline data processing of the original event sources and consolidate them in source of truth event logs</li><li>
Build and maintain real-time/batch data pipelines that can consolidate and clean up usage analytics</li><li>
Build systems that monitor data losses from the mobile sources and improve the data quality</li><li>
Devise strategies to consolidate and compensate the data losses by correlating different sources</li><li>
Solve challenging data problems with cutting edge design and algorithms.</li></ul> 
- Basic Qualifications - 
<ul><li>
5+ years of backend software engineering experience</li><li>
Expertise in one or more object-oriented programming languages (Go, Java, Python).</li><li>
Demonstrated experience of working with large data volumes and backend services.</li><li>
Good problem solving and analytical skills</li><li>
Good team player and collaboration skills.</li></ul> 
- Preferred Qualifications - 
 
Solid experience developing systems at Scale 
 
Experience working in Data Engineering ( ETL or Streaming data) , HDFS, Apache Spark , Apache Flink , Hadoop.... 
 
Good to have experience building backend services and familiarity with one of the cloud platform ( AWS/ Azure / Google cloud)</div>

Software Engineer II - Data Engineer

JPMorganChase

<div>JOB DESCRIPTION 
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking- Data Technology, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.
Job responsibilities
<ul><li>Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li><li>
Recommend improvements and modifications on new and existing data and ETL pipelines.
</li><li>Create data analytics for data scientists to innovate, build and optimize our ecosystem</li><li>
Assemble large, complex data sets that meet functional and non-functional business requirements</li><li>
Be responsible for ingesting data into our data lake and providing frameworks and services for operating on that data including the use of Spark</li></ul>
Required qualifications, capabilities, and skills
<ul><li>Formal training or certification on software engineering concepts and 3+ years applied experience</li><li>
Hands-on practical experience in system design, application development, testing, and operational stability</li><li>
Proficient in coding in one or more languages</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages</li><li>
Overall knowledge of the Software Development Life Cycle</li><li>
Analyze, debug and correct issues with data pipelines</li><li>
Operate on or build solution required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, AWS and Spark technologies.</li><li>
Collaborate with product teams to resolve data quality issues promptly.</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Experience implementing Data pipelines preferably in connection with Hadoop or Spark with Java or Python</li><li>
Exceptional coding and design skills in Java or Python and PYSPARK</li><li>
Experience with API calls for data extraction</li><li>
Good knowledge of using SQL and analytical queries</li><li>
Experience in JAVA,PYSARK and AWS Implementations</li></ul>
ABOUT US</div>

Software Engineer III -Data Engineer, Python,Spark

<div>At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. 
 
This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. 
 
Job Title: Big Data Engineer
 
Position: Senior Software Engineer / Lead Analyst
 
Experience: 5-10 Years 
Category: Software Development/ Engineering 
Main location: India, Bangalore / Pune /Hyderabad / Chennai 
Position ID: J0725-2122
 
Employment Type: Full Time
Your future duties and responsibilities<ul><li>Design and develop scalable data engineering solutions using Google Cloud Platform (GCP) and PySpark.</li><li>Optimize Spark jobs for performance, scalability, and efficient resource utilization.</li><li>Develop, maintain, and enhance ETL pipelines using BigQuery, Apache Airflow, and Cloud Composer.</li><li>Collaborate with data scientists, analysts, and DevOps teams to translate business requirements into technical solutions.</li><li>Ensure data integrity and security by implementing data governance, compliance, and security best practices.</li><li>Monitor production workloads, troubleshoot performance issues, and implement enhancements.</li><li>Implement and enforce coding standards, best practices, and performance tuning strategies.</li><li>Support migration activities from on-premises data warehouses to GCP-based solutions.</li><li>Mentor junior developers and contribute to knowledge-sharing within the team.</li><li>Stay up to date with emerging cloud technologies, tools, and best practices in the data engineering ecosystem.</li></ul>
Required qualifications to be successful in this role
Skills : 6 years of Experience in Big Data, Hadoop, Spark, Python, PySpark, Hive, SQL 
Location : Pune / Bangalore / Chennai / Hyderabad 
Education : BE / B.Tech / MCA / BCA
Together, as owners, let&rsquo;s turn meaningful insights into action. 
 
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip; 
 
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction. 
 
Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. 
 
You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
Come join our team&mdash;one of the largest IT and business consulting services firms in the world.</div>

Big Data Engineer

Johnson Controls

<div>Job Title: Data Engineer
Location: Pune, Maharashtra, India
Experience: 4+ Years
Job Description:
Johnson Controls is seeking an experienced Data Engineer responsible for designing, implementing, and managing data solutions. The successful candidate will work closely with data architects, analysts, and stakeholders to ensure data is integrated efficiently for reporting and analytics purposes.
How you will do it:<ul><li>
Deploy data ingestion processes using Azure Data Factory to load data models into Azure Synapse.</li><li>
Build, design, and support ETL/ELT processes with Azure Data Factory (ADF) and/or Python.</li><li>
Conduct data analysis using SQL and other tools to extract insights from datasets.</li><li>
Collaborate with stakeholders to understand data requirements and translate them into analytical solutions.</li><li>
Assemble datasets that meet functional business requirements.</li><li>
Maintain data models and manage DevOps pipeline deployments.</li><li>
Support data governance to enhance data quality.</li></ul>
What are we looking for?<ul><li>
Bachelor&rsquo;s degree in Engineering, Computer Science, Data Science, or a related field.</li><li>
4+ years of relevant experience in data engineering, software engineering, or a similar role.</li><li>
Strong SQL knowledge and experience with relational databases (SQL Server, Oracle, Azure SQL, etc.).</li><li>
Experience with ETL/ELT processes, data quality, and data modeling.</li><li>
Proficiency in Python for data manipulation and analysis.</li><li>
Ability to solve ETL/ELT problems with tactical/strategic solutions.</li><li>
Project management and organizational skills.</li><li>
Excellent communication skills and the ability to work collaboratively.</li></ul></div>

Sr. Software Developer Data solutions

GoDaddy

<div><div><ul><li>R021695
</li></ul></div><div><ul><li>Pune, Maharashtra, India
</li></ul></div><div></div><div><ul><li>Engineering
</li></ul></div><div><ul><li>Regular</li></ul></div></div><div></div>
 <div>Location Details: Pune (Maharastra)

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
Hybrid: This is a hybrid position. You&rsquo;ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team.

Join our Team...

We are seeking an enthusiastic and motivated Software Data Engineer II to assist in developing our next-generation Data Integration Platform, which facilitates the connection between eCommerce systems and GoDaddy&rsquo;s Data Platform. This presents an exciting opportunity to engage with a modern microservices-based architecture hosted on AWS while also providing support for our legacy Microsoft-based infrastructure components.

As a Software Data Engineer II, you will collaborate closely with cross-functional teams to design, develop, and maintain scalable data solutions that are secure, fault-tolerant, and high-performing. You will have the opportunity to work with a diverse array of technologies, including both relational and non-relational databases, cloud services, and data ingestion techniques tools.

What you'll get to do...
<ul>
<li>Design, build, and maintain reliable and efficient data pipelines.</li>
<li>Collaborate with senior engineers and stakeholders to develop data models that support key business functions.</li>
<li>Work with AWS cloud databases and Microsoft SQL Server (on-prem).</li>
<li>Integrate diverse datasets through REST APIs and other ingestion tools.</li>
<li>Write clean, maintainable code using languages like Python and C#.</li>
<li>Participate in code reviews, testing, and quality assurance processes to ensure data accuracy and performance.</li>
<li>Troubleshoot data issues and contribute to system reliability and improvement efforts.</li>
</ul>
Your experience should include...
<ul>
<li>2+ years of experience as a Data Engineer, Software Engineer, or in a similar technical role, with strong debugging and problem-solving skills.</li>
<li>Proficiency in programming languages such as C# or Python, along with hands-on experience in SQL and data modeling.</li>
<li>Familiarity with AWS data services (e.g., RDS, S3, Glue, Redshift) and experience working with both on-premises and cloud database systems.</li>
<li>Experience integrating data through REST APIs and exposure to big data tools and frameworks.</li>
<li>Understanding of data visualization and reporting tools such as Power BI or Tableau.</li>
</ul>
You might also have...
<ul>
<li>Certifications in Microsoft or AWS technologies.</li>
<li>Interest in learning and working across both legacy and modern stacks.</li></ul> 


We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy&rsquo;s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.

About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.

At GoDaddy, we know diverse teams build better products&mdash;period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that&rsquo;s not enough to build true equity and belonging in our communities. That&rsquo;s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day&mdash;focusing not only on our employee experience, but also our customer experience and operations. It&rsquo;s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com.

GoDaddy doesn&rsquo;t accept unsolicited resumes from recruiters or employment agencies.</div>

Software Data Engineer

Marc Ellis

Role: AVP, Cloud Data Engineer Location: DubaiJob Type: 6 months contract ( Extendable) Qualification <ul><li>Bachelor's degree in computer science, Computer Engineering, IT, or related fields</li><li>12+ years of overall experience with at least 5 years of leading teams delivering data lakes, data warehouses, data lakehouse</li></ul> Minimum Experience <ul><li>Data Engineering skills:<ul><li>Experience in deploying Lakehouse on Azure/AWS</li><li>Proficiency in at least one of the programming languages viz. Python, Scala</li><li>Proficiency in Data Integration tool - Informatica DEI or Big Data Management (BDM)</li><li>Minimum 2 years' experience on developing and deploying workloads on Apache Spark</li><li>SQL skills are must</li><li>Must have Cloud DevOps skills to be able to build and maintain the infrastructure as a code</li><li>At least 5 years of experience in Cloud, preferably Azure</li></ul></li><li>Communication skills to be able to explain the technical scenarios to senior IT and business stakeholders.</li></ul>Experience in agile way of working.<img src="https://www.jobg8.com/Tracking.aspx?2BLAx2Vk0CaZP5gjEFxIqqR3%2bFfDMQmTg" width="0" height="0" />

AVP Data Lake Engineering

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