Job description

The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and operational efficiency. We specialize in leveraging advanced AI and analytics to create innovative solutions that address complex business challenges. Our team is dedicated to pioneering the future of data-driven decision-making, enabling organizations to unlock new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is revolutionizing the way businesses harness the power of data and AI. At Infosys DNA, you'll have the opportunity to work with cutting-edge technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of business. We are committed to fostering a culture of continuous learning and growth, ensuring that our team members thrive in a dynamic and supportive environment. If you're passionate about AI and eager to make a significant impact, the Infosys DNA unit is the perfect place for you to grow and excel. Job role: Technology Consultant 2 Required skills and experience • Design, develop, and maintain scalable data pipelines using PySpark, Python, SQL, and Apache Spark. experience in data engineering, big data processing, or a closely related role. • Strong hands-on proficiency in Python, SQL, PySpark, and Apache Spark. • Experience designing, developing, and maintaining scalable ETL or ELT data pipelines. • Experience with Apache Airflow for workflow orchestration and scheduling. • Hands-on experience with AWS services such as S3, Glue, Redshift, or Lambda. • Experience working with Snowflake and/or Databricks. • Proficiency in data transformation, data validation, performance tuning, and troubleshooting. • Working experience with relational databases such as PostgreSQL or MySQL. • Ability to process and integrate large datasets across multiple file formats and sources. • Strong analytical, problem-solving, collaboration, and communication skills • Build and optimize batch-processing workflows for high-volume structured and semi-structured datasets. • Develop ETL and data-integration solutions using Databricks, AWS Glue, Apache Airflow, and cloud storage services. • Ingest, standardize, transform, and validate data from sources such as CSV, JSON, Parquet, transactional systems, and cloud platforms. • Create automated data-quality checks to improve completeness, consistency, and accuracy of downstream data. • Optimize Spark workloads and complex SQL queries, including CTEs and window functions, to improve processing and reporting performance. • Develop and manage Airflow DAGs for workflow scheduling, orchestration, monitoring, and operational reliability. • Prepare data for machine learning through cleansing, feature selection, feature engineering, and scalable transformation pipelines. • Support supervised machine learning model development, hyperparameter tuning, evaluation, deployment, monitoring, and retraining. • Use MLflow for experiment tracking and model lifecycle management where applicable. • Collaborate with data scientists, analysts, business teams, and engineering stakeholders to deliver reliable data products. • Troubleshoot pipeline failures, resolve processing bottlenecks, and continuously improve performance and automation. Preferred skills • Experience with supervised machine learning, feature engineering, model training, and model evaluation. • Hands-on experience with Pandas, NumPy, Scikit-learn, and Matplotlib. • Experience with MLflow for model tracking, deployment, and lifecycle management. • Experience implementing data-quality frameworks such as Great Expectations. • Knowledge of fraud detection, predictive analytics, financial data, billing, or invoice-processing use cases. • Experience integrating Spark workflows with cloud object storage and optimizing distributed processing. • AWS Certified Data Engineer - Associate or a comparable cloud/data engineering certification Qualifications and work authorization • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. • This position may require relocation and/or travel to work/project location. • Candidates 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 now or in the future. Benefits 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 • Paid holidays plus Paid Time Off 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. EEO 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.

Requirements

Must-haves

Job role: Technology Consultant 2
Required skills and experience
Design, develop, and maintain scalable data pipelines using PySpark, Python, SQL, and Apache Spark.
experience in data engineering, big data processing, or a closely related role.
Strong hands-on proficiency in Python, SQL, PySpark, and Apache Spark.
Experience designing, developing, and maintaining scalable ETL or ELT data pipelines.
Experience with Apache Airflow for workflow orchestration and scheduling.
Hands-on experience with AWS services such as S3, Glue, Redshift, or Lambda.
Experience working with Snowflake and/or Databricks.
Proficiency in data transformation, data validation, performance tuning, and troubleshooting.
Working experience with relational databases such as PostgreSQL or MySQL.
Ability to process and integrate large datasets across multiple file formats and sources.
Strong analytical, problem-solving, collaboration, and communication skills
Build and optimize batch-processing workflows for high-volume structured and semi-structured datasets.

Nice-to-haves

Experience with supervised machine learning, feature engineering, model training, and model evaluation.
Hands-on experience with Pandas, NumPy, Scikit-learn, and Matplotlib.
Experience with MLflow for model tracking, deployment, and lifecycle management.
Experience implementing data-quality frameworks such as Great Expectations.
Knowledge of fraud detection, predictive analytics, financial data, billing, or invoice-processing use cases.
Experience integrating Spark workflows with cloud object storage and optimizing distributed processing.
AWS Certified Data Engineer - Associate or a comparable cloud/data engineering certification
Qualifications and work authorization
This position may require relocation and/or travel to work/project location.
Candidates 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 now or in the future.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonsqlawsmachine learningagile

Platform: infosys
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off