9 Data Fusion Jobs

Interested Candidates share updated cv to mail id dikshith.nalapatla@motivitylabs.com Job Title: GCP Data Engineer Overview: We are looking for a skilled GCP Data Engineer with 4 to 5 years of real hands-on experience in data ingestion, data engineering, data quality, data governance, and cloud data warehouse implementations using GCP data services. The ideal candidate will be responsible for designing and developing data pipelines, participating in architectural discussions, and implementing data solutions in a cloud environment. Key Responsibilities: Collaborate with stakeholders to gather requirements and create high-level and detailed technical designs. Develop and maintain data ingestion frameworks and pipelines from various data sources using GCP services. Participate in architectural discussions, conduct system analysis, and suggest optimal solutions that are scalable, future-proof, and aligned with business requirements. Design data models suitable for both transactional and big data environments, supporting Machine Learning workflows. Build and optimize ETL/ELT infrastructure using a variety of data sources and GCP services. Develop and implement data and semantic interoperability specifications. Work closely with business teams to define and scope requirements. Analyze existing systems to identify appropriate data sources and drive continuous improvement. Implement and continuously enhance automation processes for data ingestion and data transformation. Support DevOps automation efforts to ensure smooth integration and deployment of data pipelines. Provide design expertise in Master Data Management (MDM), Data Quality, and Metadata Management. Skills and Qualifications: Overall 4-5 years of hands-on experience as a Data Engineer, with at least 3 years of direct GCP Data Engineering experience . Strong SQL and Python development skills are mandatory. Solid experience in data engineering, working with distributed architectures, ETL/ELT, and big data technologies. Demonstrated knowledge and experience with Google Cloud BigQuery is a must. Experience with DataProc and Dataflow is highly preferred. Strong understanding of serverless data warehousing on GCP and familiarity with DWBI modeling frameworks . Extensive experience in SQL across various database platforms. Experience in data mapping and data modeling . Familiarity with data analytics tools and best practices. Hands-on experience with one or more programming/scripting languages such as Python, JavaScript, Java, R, or UNIX Shell . Practical experience with Google Cloud services including but not limited to: Big Query , BigTable Cloud Dataflow , Cloud Data proc Cloud Storage , Pub/Sub Cloud Functions , Cloud Composer Cloud Spanner , Cloud SQL Knowledge of modern data mining, cloud computing, and data management tools (such as Hadoop, HDFS, and Spark ). Familiarity with GCP tools like Looker, Airflow DAGs, Data Studio, App Maker , etc. Hands-on experience implementing enterprise-wide cloud data lake and data warehouse solutions on GCP. GCP Data Engineer Certification is highly preferred. Interested Candidates share updated cv to mail id dikshith.nalapatla@motivitylabs.com Total Experience: Relevant Experience : Current Role / Skillset: Current CTC: Fixed: Variables(if any): Bonus(if any): Payroll Company(Name): Client Company(Name): Expected CTC: Official Notice Period: Serving Notice (Yes / No): CTC of offer in hand: Last Working Day (in current organization): Location of the Offer in hand: Willing to work from office: ************* 5DAYS WORK FROM OFFICE MANDATORY ****************

Interested Candidates share updated cv to mail id dikshith.nalapatla@motivitylabs.com Job Title: GCP Data Engineer Overview: We are looking for a skilled GCP Data Engineer with 4 to 5 years of real hands-on experience in data ingestion, data engineering, data quality, data governance, and cloud data warehouse implementations using GCP data services. The ideal candidate will be responsible for designing and developing data pipelines, participating in architectural discussions, and implementing data solutions in a cloud environment. Key Responsibilities: Collaborate with stakeholders to gather requirements and create high-level and detailed technical designs. Develop and maintain data ingestion frameworks and pipelines from various data sources using GCP services. Participate in architectural discussions, conduct system analysis, and suggest optimal solutions that are scalable, future-proof, and aligned with business requirements. Design data models suitable for both transactional and big data environments, supporting Machine Learning workflows. Build and optimize ETL/ELT infrastructure using a variety of data sources and GCP services. Develop and implement data and semantic interoperability specifications. Work closely with business teams to define and scope requirements. Analyze existing systems to identify appropriate data sources and drive continuous improvement. Implement and continuously enhance automation processes for data ingestion and data transformation. Support DevOps automation efforts to ensure smooth integration and deployment of data pipelines. Provide design expertise in Master Data Management (MDM), Data Quality, and Metadata Management. Skills and Qualifications: Overall 4-5 years of hands-on experience as a Data Engineer, with at least 3 years of direct GCP Data Engineering experience . Strong SQL and Python development skills are mandatory. Solid experience in data engineering, working with distributed architectures, ETL/ELT, and big data technologies. Demonstrated knowledge and experience with Google Cloud BigQuery is a must. Experience with DataProc and Dataflow is highly preferred. Strong understanding of serverless data warehousing on GCP and familiarity with DWBI modeling frameworks . Extensive experience in SQL across various database platforms. Experience in data mapping and data modeling . Familiarity with data analytics tools and best practices. Hands-on experience with one or more programming/scripting languages such as Python, JavaScript, Java, R, or UNIX Shell . Practical experience with Google Cloud services including but not limited to: Big Query , BigTable Cloud Dataflow , Cloud Data proc Cloud Storage , Pub/Sub Cloud Functions , Cloud Composer Cloud Spanner , Cloud SQL Knowledge of modern data mining, cloud computing, and data management tools (such as Hadoop, HDFS, and Spark ). Familiarity with GCP tools like Looker, Airflow DAGs, Data Studio, App Maker , etc. Hands-on experience implementing enterprise-wide cloud data lake and data warehouse solutions on GCP. GCP Data Engineer Certification is highly preferred. Interested Candidates share updated cv to mail id dikshith.nalapatla@motivitylabs.com Total Experience: Relevant Experience : Current Role / Skillset: Current CTC: Fixed: Variables(if any): Bonus(if any): Payroll Company(Name): Client Company(Name): Expected CTC: Official Notice Period: Serving Notice (Yes / No): CTC of offer in hand: Last Working Day (in current organization): Location of the Offer in hand: Willing to work from office: ************* 5DAYS WORK FROM OFFICE MANDATORY ****************

Data Engineer Job Description : Jash Data Sciences: Letting Data Speak! Do you love solving real-world data problems with the latest and best techniques? And having fun while solving them in a team! Then come and join our high-energy team of passionate data people. Jash Data Sciences is the right place for you. We are a cutting-edge Data Sciences and Data Engineering startup based in Pune, India. We believe in continuous learning and evolving together. And we let the data speak! What will you be doing? You will be discovering trends in the data sets and developing algorithms to transform raw data for further analytics Create Data Pipelines to bring in data from various sources, with different formats, transform it, and finally load it to the target database. Implement ETL/ ELT processes in the cloud using tools like AirFlow, Glue, Stitch, Cloud Data Fusion, and DataFlow. Design and implement Data Lake, Data Warehouse, and Data Marts in AWS, GCP, or Azure using Redshift, BigQuery, PostgreSQL, etc. Creating efficient SQL queries and understanding query execution plans for tuning queries on engines like PostgreSQL. Performance tuning of OLAP/ OLTP databases by creating indices, tables, and views. Write Python scripts for the orchestration of data pipelines Have thoughtful discussions with customers to understand their data engineering requirements. Break complex requirements into smaller tasks for execution. What do we need from you? Strong Python coding skills with basic knowledge of algorithms/data structures and their application. Strong understanding of Data Engineering concepts including ETL, ELT, Data Lake, Data Warehousing, and Data Pipelines. Experience designing and implementing Data Lakes, Data Warehouses, and Data Marts that support terabytes of scale data. A track record of implementing Data Pipelines on public cloud environments (AWS/GCP/Azure) is highly desirable A clear understanding of Database concepts like indexing, query performance optimization, views, and various types of schemas. Hands-on SQL programming experience with knowledge of windowing functions, subqueries, and various types of joins. Experience working with Big Data technologies like PySpark/ Hadoop A good team player with the ability to communicate with clarity Show us your git repo/ blog! Qualification 1-2 years of experience working on Data Engineering projects for Data Engineer I 2-5 years of experience working on Data Engineering projects for Data Engineer II 1-5 years of Hands-on Python programming experience Bachelors/Masters' degree in Computer Science is good to have Courses or Certifications in the area of Data Engineering will be given a higher preference. Candidates who have demonstrated a drive for learning and keeping up to date with technology by continuing to do various courses/self-learning will be given high preference.

Role Overview We are seeking a talented ETL Engineer to design, implement, and maintain end-to-end data ingestion and transformation pipelines in Google Cloud Platform (GCP). This role will collaborate closely with data architects, analysts, and BI developers to ensure high-quality, performant data delivery into BigQuery and downstream Power BI reporting layers. Key Responsibilities Data Ingestion & Landing Architect and implement landing zones in Cloud Storage for raw data. Manage buckets/objects and handle diverse file formats (Parquet, Avro, CSV, JSON, ORC). ETL Pipeline Development Build and orchestrate extraction, transformation, and loading workflows using Cloud Data Fusion. Leverage Data Fusion Wrangler for data cleansing, filtering, imputation, normalization, type conversion, splitting, joining, sorting, union, pivot/unpivot, and format adjustments. Data Modeling Design and maintain fact and dimension tables using Star and Snowflake schemas. Collaborate on semantic layer definitions to support downstream reporting. Load & Orchestration Load curated datasets into BigQuery across different zones (raw, staging, curated). Develop SQL-based orchestration and transformation within BigQuery (scheduled queries, scripting). Performance & Quality Optimize ETL jobs for throughput, cost, and reliability. Implement monitoring, error handling, and data quality checks. Collaboration & Documentation Work with data analysts and BI developers to understand requirements and ensure data readiness for Power BI. Maintain clear documentation of pipeline designs, data lineage, and operational runbooks. Required Skills & Experience Bachelors degree in Computer Science, Engineering, or related field. 3+ years of hands-on experience building ETL pipelines in GCP. Proficiency with Cloud Data Fusion , including Wrangler transformations. Strong command of SQL , including performance tuning in BigQuery. Experience managing Cloud Storage buckets and handling Parquet, Avro, CSV, JSON, and ORC formats. Solid understanding of dimensional modeling: fact vs. dimension tables, Star and Snowflake schemas. Familiarity with BigQuery data zones (raw, staging, curated) and dataset organization. Experience with scheduling and orchestration tools (Cloud Composer, Airflow, or BigQuery scheduled queries). Excellent problem-solving skills and attention to detail. Preferred (Good to Have) Exposure to Power BI data modeling and DAX. Experience with other GCP services (Dataflow, Dataproc). Familiarity with Git, CI/CD pipelines, and infrastructure as code (Terraform). Knowledge of Python for custom transformations or orchestration scripts. Understanding of data governance best practices and metadata management.

Role & responsibilities GCP Services - Biq Query, Data Flow, Dataproc, DataPlex, DataFusion, Terraform, Tekton, Cloud SQL, Redis Memory, Airflow, Cloud Storage 2+ Years in Data Transfer Utilities 2+ Years in Git / any other version control tool 2+ Years in Confluent Kafka 1+ Years of Experience in API Development 2+ Years in Agile Framework 4+ years of strong experience in python, Pyspark development. 4+ years of shell scripting to develop the adhoc jobs for data importing/exporting Preferred candidate profile Python, dataflow, Dataproc, GCP Cloud Run, DataForm, Agile Software Development, Big Query, TERRAFORM, Data Fusion, Cloud SQL, GCP, KAFKA,Java. We would like to inform you that only immediate joiners will be considered for this position due to project urgency.

"Position Description: Full Stack Data Engineers will work with Data Scientists and Product Development Python, Dataproc, Airflow PySpark, Cloud Storage, DBT, DataForm, NAS, Pubsub, TERRAFORM, API, Big Query, Data Fusion, GCP, Tekton

Skill & Experience Strategic Planning and Direction Maintain architecture principles, guidelines and standards Project & Program Management Data Warehousing Big Data Data Analytics &; Data Science for solutioning Expert in Big Query, Dataproc, Data Fusion, Dataflow, Bigtable, Fire Store, CloudSQL, Cloud Spanner, Google Cloud Storage, Cloud Composer, Cloud Interconnect, Etc Strong Experience in Big Data- Data Modelling, Design, Architecting & Solutioning Understands programming language like SQL, Python, R-Scala. Good Python skills, - Experience from data visualisation tools such as Google Data Studio or Power BI Knowledge in A/B Testing, Statistics, Google Cloud Platform, Google Big Query, Agile Development, DevOps, Date Engineering, ETL Data Processing Strong Migration experience of production Hadoop Cluster to Google Cloud. Experience in designing & mplementing solution in mentioned areas:Strong Google Cloud Platform Data Components BigQuery, BigTable, CloudSQL, Dataproc, Data Flow, Data Fusion, Etc

Duration: 12Months Work Type: Onsite Position Description: We seeking an experienced GCP Data Engineer who can build cloud analytics platform to meet ever expanding business requirements with speed and quality using lean Agile practices. You will work on analyzing and manipulating large datasets supporting the enterprise by activating data assets to support Enabling Platforms and Analytics in the Google Cloud Platform (GCP). You will be responsible for designing the transformation and modernization on GCP, as well as landing data from source applications to GCP. Experience with large scale solution and operationalization of data warehouses, data lakes and analytics platforms on Google Cloud Platform or other cloud environment is a must. We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design right solutions with appropriate combination of GCP and 3rd party technologies for deploying on Google Cloud Platform. Skills Required: Experience in working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment. Implement methods for automation of all parts of the pipeline to minimize labor in development and production Experience in analyzing complex data, organizing raw data and integrating massive datasets from multiple data sources to build subject areas and reusable data products Experience in working with architects to evaluate and productionalize appropriate GCP tools for data ingestion, integration, presentation, and reporting Experience in working with all stakeholders to formulate business problems as technical data requirement, identify and implement technical solutions while ensuring key business drivers are captured in collaboration with product management Proficient in Machine Learning model architecture, data pipeline interaction and metrics interpretation. This includes designing and deploying a pipeline with automated data lineage. Identify, develop, evaluate and summarize Proof of Concepts to prove out solutions. Test and compare competing solutions and report out a point of view on the best solution. Integration between GCP Data Catalog and Informatica EDC. Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (GCP) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer, Cloud SQL, Compute Engine, Cloud Functions, and App Engine. Skills Preferred: Strong drive for results and ability to multi-task and work independently Self-starter with proven innovation skills Ability to communicate and work with cross-functional teams and all levels of management Demonstrated commitment to quality and project timing Demonstrated ability to document complex systems Experience in creating and executing detailed test plans Experience Required: 3 to 5 Yrs Education Required: BE or Equivalent

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level 5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 3 - 20 Yrs Location- Pan India Job Description : - Skills: GCP, BigQuery, Cloud Composer, Cloud DataFusion, Python, SQL 5-20 years of overall experience mainly in the data engineering space, 2+ years of Hands-on experience in GCP cloud data implementation, Experience of working in client facing roles in technical capacity as an Architect. must have implementation experience of GCP based clous Data project/program as solution architect, Proficiency of using Google Cloud Architecture Framework in Data context Expert knowledge and experience of core GCP Data stack including BigQuery, DataProc, DataFlow, CloudComposer etc. Exposure to overall Google tech stack of Looker/Vertex-AI/DataPlex etc. Expert level knowledge on Spark.Extensive hands-on experience working with data using SQL, Python Strong experience and understanding of very large-scale data architecture, solutioning, and operationalization of data warehouses, data lakes, and analytics platforms. (Both Cloud and On-Premise) Excellent communications skills with the ability to clearly present ideas, concepts, and solutions If interested please forward your updated resume to sankarspstaffings@gmail.com / Sankar@spstaffing.in or you can reach me @ 8939853050 With Regards, Sankar G Sr. Executive - IT Recruitment