<ul><li>Job Title: Azure Data Engineer</li><li>Experience: 0-2 years</li><li>Location: Mumbai or Kerala</li><li>NEED SOMEONE WHO CAN JOIN IMMEDIATELY</li></ul> Responsibilities: <ul><li>Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.</li><li>Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.</li><li>Liaising with coworkers and clients to elucidate the requirements for each task.</li><li>Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.</li><li>Reformulating existing frameworks to optimize their functioning.</li><li>Testing such structures to ensure that they are fit for use.</li><li>Creating innovative data validation methods and data analysis tools.</li><li>Interpreting data trends and patterns to establish operational alerts.</li><li>Preparing data for prescriptive and predictive modeling.</li></ul> Requirements and skills: <ul><li>Hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.</li><li>High proficiency in Scala/Java and Spark for applied large-scale data processing.</li><li>Data Engineering skills: Python, SQL, Spark, Cloud Architect, Data & Solution Architect, API.</li><li>Expertise with big data technologies, including Spark, Azure Data Factory, Azure Data Lake, Azure Databricks, Power BI, Alteryx.</li><li>Solid understanding of batch and streaming data processing techniques.</li><li>Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.</li><li>Expert-level ability to write complex, optimized SQL queries across extensive data volumes. </li></ul>

<ul><li>Job Title: Senior Azure Data Engineer</li><li>Experience: 5+ years</li><li>Location: Mumbai or Kerala</li><li>NEED SOMEONE WHO CAN JOIN IMMEDIATELY</li></ul> Responsibilities:<ul><li>Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.</li><li>Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.</li><li>Liaising with coworkers and clients to elucidate the requirements for each task.</li><li>Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.</li><li>Reformulating existing frameworks to optimize their functioning.</li><li>Testing such structures to ensure that they are fit for use.</li><li>Creating innovative data validation methods and data analysis tools.</li><li>Interpreting data trends and patterns to establish operational alerts.</li><li>Preparing data for prescriptive and predictive modeling.</li></ul> Requirements and skills:<ul><li>Expertise in Power BI and Power Apps</li><li>Hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.</li><li>High proficiency in Scala/Java and Spark for applied large-scale data processing.</li><li>Data Engineering skills: Python, SQL, Spark, Cloud Architect, Data & Solution Architect, API.</li><li>Expertise with big data technologies, including Spark, Azure Data Factory, Azure Data Lake, Azure Databricks, Alteryx.</li><li>Solid understanding of batch and streaming data processing techniques.</li><li>Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.</li><li>Expert-level ability to write complex, optimized SQL queries across extensive data volumes.</li></ul>

<ul><li>Job Title: Azure Data Engineer</li><li>Experience: 0-2 years</li><li>Location: Mumbai or Kerala</li><li>NEED SOMEONE WHO CAN JOIN IMMEDIATELY</li></ul> Responsibilities:<ul><li>Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.</li><li>Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.</li><li>Liaising with coworkers and clients to elucidate the requirements for each task.</li><li>Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.</li><li>Reformulating existing frameworks to optimize their functioning.</li><li>Testing such structures to ensure that they are fit for use.</li><li>Creating innovative data validation methods and data analysis tools.</li><li>Interpreting data trends and patterns to establish operational alerts.</li><li>Preparing data for prescriptive and predictive modeling.</li></ul> Requirements and skills:<ul><li>Hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.</li><li>High proficiency in Scala/Java and Spark for applied large-scale data processing.</li><li>Data Engineering skills: Python, SQL, Spark, Cloud Architect, Data & Solution Architect, API.</li><li>Expertise with big data technologies, including Spark, Azure Data Factory, Azure Data Lake, Azure Databricks, Power BI, Alteryx.</li><li>Solid understanding of batch and streaming data processing techniques.</li><li>Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.</li><li>Expert-level ability to write complex, optimized SQL queries across extensive data volumes.</li></ul>

<ul><li>Job Title: Senior Azure Data Engineer</li><li>Experience: 5+ years</li><li>Location: Mumbai or Kerala</li><li>NEED SOMEONE WHO CAN JOIN IMMEDIATELY</li></ul> Responsibilities: <ul><li>Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights.</li><li>Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations.</li><li>Liaising with coworkers and clients to elucidate the requirements for each task.</li><li>Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.</li><li>Reformulating existing frameworks to optimize their functioning.</li><li>Testing such structures to ensure that they are fit for use.</li><li>Creating innovative data validation methods and data analysis tools.</li><li>Interpreting data trends and patterns to establish operational alerts.</li><li>Preparing data for prescriptive and predictive modeling.</li></ul> Requirements and skills: <ul><li>Expertise in Power BI and Power Apps</li><li>Hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines.</li><li>High proficiency in Scala/Java and Spark for applied large-scale data processing.</li><li>Data Engineering skills: Python, SQL, Spark, Cloud Architect, Data & Solution Architect, API.</li><li>Expertise with big data technologies, including Spark, Azure Data Factory, Azure Data Lake, Azure Databricks, Alteryx.</li><li>Solid understanding of batch and streaming data processing techniques.</li><li>Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion.</li><li>Expert-level ability to write complex, optimized SQL queries across extensive data volumes.</li></ul>

Location: Kochi, KeralaExperience: 4+ years of experienceSalary: As per Industry Standards Job Description: Netstratum is looking for a Data Engineer, who will be responsible for creating and managing automated data pipelines and data stores in Snowflake. You will design, implement, test, debug, and deploy highly configurable and metadata-driven solutions. Your expertise will drive seamless integration with AWS environments, partnering with business analysts to translate requirements into effective solutions, and collaborating within an agile team to adapt to evolving needs. Primary responsibility: <ul><li>Create and manage automated data pipelines and data stores in Snowflake, ensuring efficient design, implementation, testing, debugging, and deployment.</li><li>Develop highly configurable, metadata-driven solutions that can be reused across various projects.</li><li>Implement automated testing and deployment processes for Snowflake solutions, ensuring smooth integration with AWS environments.</li><li>Partner with business analysts to understand requirements, groom user stories, and implement solutions effectively.</li><li>Work within an agile team to rapidly iterate and release solutions, adapting to changing requirements and feedback.</li><li>Provide technical advice and assist end-users in troubleshooting and resolving issues related to Snowflake and associated technologies.</li><li>Proficiency with DBT (Data Build Tool) for data modeling and transformation, and Apache Airflow for workflow orchestration and scheduling.</li><li>Expertise in Snowflake utilities including SnowSQL, Snowpipe, and Snowlight for handling streaming data.</li><li>In-depth knowledge of Snowflake advanced features such as resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero Copy Clone, and Time Travel.</li><li>Experience with re-clustering Snowflake data and understanding of micro-partitions.</li><li>Proficiency in deploying Snowflake features like data sharing, events, and lake-house patterns.</li><li>Experience in handling semi-structured data (JSON, XML) in Snowflake.</li><li>Expertise in Snowflake, SQL, JavaScript, and Data Vault 2.0 or Dimensional Data Model.</li></ul> Required skills: <ul><li>Bachelor’s Degree in Computer Science, MIS, or a related field.</li><li>3+ years in professional database and data warehouse development.</li><li>3+ years of experience with Snowflake, including Snowpipes, Snowshare, Tasks, Streams, UDFs, and Procedures.</li><li>4+ years of experience with Python, FastAPI</li><li>Experience in microservices architecture and understanding of cloud computing.</li><li>Familiarity with Azure ADO</li><li>Experience with Power BI or Tableau.</li><li>Understanding of Agile methodologies, Scrum, or Kanban.</li><li>Knowledge of CI/CD pipelines and AWS cloud services.</li></ul> To Apply- Visit our careers page (netstratum.com)

Job Role: AWS Data EngineerJob Locations: Chennai / KochiJob Mode: Work From OfficeExperience Range: Min 6-8 yearsDesired Competencies (Technical/Behavioral Competency):Proficient in creating the Data models.Hands on in ETL process using AWS Glue.Strong knowledge in Data warehouse and SCD concepts.Strong knowledge in Aurora,Ec2,S3 and other AWS services.AWS Data Engineer Skills set

Data Engineer Jobs in Kochi, Kerala

Azure Data Engineer
November 18, 2024

Senior Azure Data Engineer
November 18, 2024

Azure Data Engineer
November 10, 2024

Senior Azure Data Engineer
November 8, 2024

Senior Data Engineer Snowflake
November 3, 2024

Aws Data Engineer
October 26, 2024

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Data Engineer Jobs in Kochi, Kerala

Azure Data EngineerNovember 18, 2024

Senior Azure Data EngineerNovember 18, 2024

Azure Data EngineerNovember 10, 2024

Senior Azure Data EngineerNovember 8, 2024

Senior Data Engineer SnowflakeNovember 3, 2024

Aws Data EngineerOctober 26, 2024