Hadoop and PySpark Lead Developer
Company: Infosys
Location: Hartford
Posted on: April 6, 2026
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Job Description:
Infosys is seeking a Hadoop and PySpark Lead Developer. In this
role, one will enable digital transformation for our clients in a
global delivery model, research on technologies independently,
recommend appropriate solutions and contribute to
technology-specific best practices and standards. One will be
responsible to interface with key stakeholders and apply your
technical proficiency across different stages of the Software
Development Life Cycle. Candidate will be part of a learning
culture, where teamwork and collaboration are encouraged,
excellence is rewarded, and diversity is respected and valued.
Required Qualifications: Candidate must be located within commuting
distance of Hartford, CT or be willing to relocate to the area. At
least 4 years of experience in Information Technology. Experience
to develop/lead Big Data solutions at enterprise scale with at
least one end?to?end implementation Bachelor’s degree or foreign
equivalent required from accredited institution. Will also consider
three years of progressive experience in the specialty in lieu of
every year of education Applicants authorized to work for any
employer in the United States without employer-based visa
sponsorship are welcome to apply. Infosys is unable to provide
immigration sponsorship for this role at this time. Preferred
Qualifications: Expertise in software development building large
scale distributed data processing systems/application, Data
Engineering or large-scale internet systems. Strong experience in
programming languages: Big Data, Spark/PySpark, SQL, Python, and
Shell scripting. Good experience with Spark/Hadoop/HDFS
architecture, YARN, Confluent Kafka, HBase, Hive, Impala, and NoSQL
databases Experience with batch processing and AutoSys job
scheduling and monitoring Performance analysis, troubleshooting,
and resolution (including familiarity with Cloudera/Hadoop logs)
Experience working with Cloudera on open issues leading to cluster
configuration changes and implementation. Strong experience with
databases such as SQL, Hive, Elasticsearch, HBase, etc. Knowledge
of Hadoop security, data management, and governance Good
understanding of data integration, data quality and data
architecture. Experience in Relational Modeling, Dimensional
Modeling and Modeling of Unstructured Data The job entails sitting
as well as working at a computer for extended periods of time.
Should be able to communicate by telephone, email or face to face.
Travel may be required as per the job requirements. Along with
competitive pay, as a full-time Infosys employee you are also
eligible for the following benefits: - Medical/Dental/Vision/Life
Insurance Long-term/Short-term Disability Health and Dependent Care
Reimbursement Accounts Insurance (Accident, Critical Illness,
Hospital Indemnity, Legal) 401(k) plan and contributions dependent
on salary level About Us Infosys is a global leader in
next-generation digital services and consulting. We enable clients
in more than 50 countries to navigate their digital transformation.
With over four decades of experience in managing the systems and
workings of global enterprises, we expertly steer our clients
through their digital journey. We do it by enabling the enterprise
with an AI-powered core that helps prioritize the execution of
change. We also empower the business with agile digital at scale to
deliver unprecedented levels of performance and customer delight.
Our always-on learning agenda drives their continuous improvement
through building and transferring digital skills, expertise, and
ideas from our innovation ecosystem. Infosys provides equal
employment opportunities to applicants and employees without regard
to race; color; sex; gender identity; sexual orientation; religious
practices and observances; national origin; pregnancy, childbirth,
or related medical conditions; status as a protected veteran or
spouse/family member of a protected veteran; or disability.
Keywords: Infosys, Middletown , Hadoop and PySpark Lead Developer, IT / Software / Systems , Hartford, Connecticut
