Hadoop Jobs in Cochin

Data Engineer About the Role We are looking for an experienced and resilient Data Engineer to join our growing team of analytic experts. The ideal candidate will be eager to learn and tackle bigger challenges in the field of data engineering. In this role, you will work closely with product and engineering teams to design, build, and maintain scalable data pipelines that empower key business decisions. What You Will Do Collaborate with product and engineering teams to understand the domains, features, and metrics needed for data processing. Design and build scalable data pipelines to handle data from various sources efficiently. Extract data using ETL tools and load it to the data warehouse (AWS Redshift / Google BigQuery). Implement batch processing for both structured and unstructured data. Analyze data and create visualizations using tools like Tableau, Metabase, or Google Data Studio to support business decision-making. Be part of the core data team responsible for designing and maintaining the data warehouse. Troubleshoot and resolve issues in data processing and pipelines. Anticipate potential problems and develop proactive processes to avoid them. Quickly learn and adapt to new technologies as needed. Set up CI/CD pipelines for data integration and automation. What Makes You a Great Fit Proficiency in database design and writing SQL queries. Experience with data warehouse solutions such as AWS Redshift, Google BigQuery, or Snowflake. Knowledge of platforms like Segment, HevoData, Stitch, Amplitude, or Clevertap. Hands-on experience with technologies like Apache Spark, Python, R, Hadoop, and Kafka. Familiarity with working with connectors (REST / SOAP, etc.). Experience with BI platforms such as Metabase, Power BI, Tableau, or Google Data Studio. Competitive salary and benefits package. Opportunities for career growth and learning in a dynamic and challenging environment. Work with a passionate and innovative team focused on solving impactful data problems.

Senior Data Engineer AWS Big Data & API Integration Expert Location: Cochin Experience Required: 5+ years in Data Engineering Job Purpose We are hiring a Senior Data Engineer to lead the development of a scalable and efficient data ingestion framework and ensure high standards of data quality and validation. This role involves designing and implementing robust APIs for seamless data integration and working with modern AWS-based big data technologies. The ideal candidate thrives in complex environments and is passionate about scalable, automated, and high-performance data systems. Key Responsibilities Data Ingestion Framework: Architect, build, and maintain ETL pipelines using services such as AWS Glue, Lambda, EMR, Step Functions, ECS, and EC2. Data Quality & Validation: Implement automated validation checks, monitoring tools, and alerting mechanisms to ensure data accuracy, completeness, and integrity. API Development: Design and develop secure, scalable, and high-performance RESTful APIs with robust documentation and best practices in security, versioning, and performance optimization. Agile Collaboration: Collaborate with stakeholders, analysts, and data scientists to understand business requirements and deliver actionable data solutions. Participate in agile ceremonies and code reviews. DevOps & CI/CD: Contribute to the development of CI/CD pipelines using tools like GitLab, ensuring automated, test-driven deployments. Required Qualifications 5+ years of hands-on experience in data engineering and analytical platform development. Proficient in Python, PySpark, and SQL for large-scale ETL processes. Extensive knowledge of AWS services such as Glue, Lambda, S3, Step Functions, EMR, and ECS. Experience with big data frameworks (e.g., Apache Spark, Apache Iceberg) and databases like DynamoDB, Aurora, PostgreSQL, Redshift. Skilled in building and integrating secure RESTful APIs for internal and external systems. Familiar with CI/CD, automated testing, and agile project management tools. Strong analytical thinking, communication skills, and problem-solving mindset. Preferred Qualifications Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field. Experience with AWS Kinesis, Firehose, SQS, and modern data lakehouse architectures. Prior experience with data quality frameworks and large-scale API-driven data integration in distributed systems. Familiarity with information security standards and adherence to ISMS policies. Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.

We are looking for a skilled Python Developer with a background in Artificial Intelligence (AI) / Machine Learning (ML) to join our team. The ideal candidate will be proficient in Python programming, with expertise in handling advanced topics such as synchronization, threading, and multiprocessing. Experience with modern databases and API development is also essential. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 5+ years of experience in Python development, with a focus on AI/ML projects. Experience in any of the LLM framework Hands-on experience with Python synchronization, threading, and multiprocessing. Strong experience in FastAPI or other similar frameworks for API development. Proficiency in Relational Databases (RDBMS) and NoSQL Databases Experience working with Vector Databases such as Pinecone, Qdrant, Milvus, Chroma DB, or Elasticsearch. Solid understanding of Rest API design and implementation. Experience with unit testing using PyTest. Key Responsibilities: Develop, maintain, and deploy AI/ML models using Python. Implement efficient synchronization programs using Python. Experience in modern quantization, model maintenance, and fine-tuning techniques. Work on Python threading and multiprocessing strategies for performance optimization. Develop and integrate APIs, particularly REST APIs, using frameworks like FastAPI. Design, implement, and optimize data storage solutions using Relational (RDBMS), NoSQL, and Vector Databases (such as Pinecone, Qdrant, Milvus, Chroma DB, Elasticsearch). Ensure quality and reliability of code through unit testing with PyTest. Collaborate with cross-functional teams to gather and define system requirements. Write clean, scalable, and well-documented code following best practices. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Job Title: Data Engineer Location: Rajkot, Gujarat, India Company: IBM Consulting Introduction A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for some of the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including Software and Red Hat. At IBM, curiosity and a constant quest for knowledge serve as the foundation for success. You'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions that make groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experiences. In this role, you ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients. Our delivery centers provide locally based skills and technical expertise to drive innovation and adoption of new technologies. Your Role and Responsibilities As a Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in developing data solutions using Spark Framework with Python or Scala on Hadoop and AWS Cloud Data Platform. Key Responsibilities: Data Pipeline Development: Build data pipelines to ingest, process, and transform data from files, streams, and databases. Process the data using Spark, Python, PySpark, Scala, and Hive, HBase, or other NoSQL databases on Cloud Data Platforms (AWS) or HDFS. Software Code Development: Develop efficient software code for multiple use cases leveraging Spark Framework, using Python or Scala and Big Data technologies for various use cases built on the platform. Streaming Pipelines: Develop streaming pipelines to process real-time data. Cloud Data Solutions: Work with Hadoop/ AWS ecosystem components to implement scalable solutions to meet the increasing data volumes using big data/cloud technologies like Apache Spark, Kafka, etc. Big Data/Cloud Technologies: Build scalable solutions on AWS, including tools like AWS EMR, AWS Glue, DataBricks, AWS Redshift, DynamoDB, and other cloud technologies. Required Education Bachelor's Degree in Computer Science, Engineering, or a related field. Required Technical and Professional Expertise 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills. Minimum 4+ years of experience in Big Data technologies with extensive experience in Spark, Python, or Scala. Minimum 3 years of experience on Cloud Data Platforms (preferably AWS). Exposure to streaming solutions and message brokers like Kafka technologies. Proficiency in SQL. Experience with AWS EMR, AWS Glue, DataBricks, AWS Redshift, DynamoDB. Preferred Technical and Professional Experience Certification in AWS, Data Bricks, or Cloudera Spark Certified Developers. About IBM Consulting IBM Consulting is IBM s consulting and global professional services business, with market-leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners, and the planet. Qualification : Bachelor's Degree in Computer Science, Engineering, or a related field.q