Databricks Jobs in Cochin

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.

Azure Data Engineer Location: Kochi, India Experience: 8-12 Years About the Role We are seeking a highly skilled Azure Data Engineer to design, build, and maintain scalable data solutions in a cloud-based environment. This role requires expertise in Azure data platforms, PySpark, SQL, Python, and Databricks to develop robust ETL/ELT processes and data architectures. As an integral part of our Data Engineering team, you will work with large-scale datasets, optimize performance, and ensure data integrity across various platforms, including Oracle ERP, ERP Fusion, and Salesforce. Key Responsibilities Data Engineering & Architecture Design, build, and maintain scalable and high-performance data management systems. Develop and implement Azure-based data architectures across multiple projects while adhering to best practices. Leverage PySpark and Databricks within the Azure ecosystem to process and manipulate large datasets efficiently. Design and implement data schemas, models, and database architectures based on business requirements. ETL/ELT Development & Data Processing Develop complex ETL/ELT processes for large-scale data migration and transformation across enterprise systems. Extract data from various sources like APIs, JSONs, and relational databases to feed analytics pipelines. Optimize Azure-based database systems for performance, reusability, reliability, and scalability. Ensure all data processing activities comply with data governance, security, and privacy regulations. Performance Optimization & Troubleshooting Evaluate and enhance Azure-based database performance using best practices. Lead initiatives for data integrity, normalization, and standardization within Azure environments. Troubleshoot and resolve complex data-related issues, providing expert guidance to the team. Required Qualifications & Skills Education & Experience Bachelor s degree in Computer Science, Information Technology, Engineering, or a related field. 8+ years of experience in a Data Engineer role, with at least 3 years as an Azure Data Engineer. Technical Expertise Programming Languages: Expertise in Python, SQL, and PySpark. Big Data & Analytics: Proficient in Databricks or similar big data solutions. Cloud Technologies: Extensive experience with Azure cloud data platforms, including: Azure Data Factory (ADF) Azure SQL Data Warehouse Azure Databricks Data Architecture & ETL/ELT: Strong knowledge of ETL/ELT frameworks, data structures, and software architecture. Enterprise Systems: Experience integrating Oracle ERP, ERP Fusion, and Salesforce into cloud-based data pipelines. Data Extraction: Ability to extract data from multiple sources, including APIs, JSONs, and databases. Soft Skills Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Exciting & Challenging Work Work with large-scale datasets and cutting-edge Azure technologies. Career Growth Opportunities for upskilling, training, and career advancement. Collaborative Environment Work alongside industry experts in a dynamic and innovative culture. Comprehensive Benefits Competitive salary, health benefits, and flexible work policies. Join Our Team & Shape the Future of Data! If you are passionate about Azure-based data engineering and thrive in a fast-paced environment, we encourage you to apply! Apply Now! Qualification : Bachelors degree in Computer Science, Information Technology, Engineering, or a 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