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6.0 - 8.0 years
10 - 15 Lacs
Hyderabad
Hybrid
Mega Walkin Drive for Lead Software Engineer/Sr Software Engineer- Data Engineer -Python & Hadoop Your future duties and responsibilities: Job Overview: CGI is looking for a talented and motivated Data Engineer with strong expertise in Python, Apache Spark, HDFS, and MongoDB to build and manage scalable, efficient, and reliable data pipelines and infrastructure Youll play a key role in transforming raw data into actionable insights, working closely with data scientists, analysts, and business teams. Key Responsibilities: Design, develop, and maintain scalable data pipelines using Python and Spark. Ingest, process, and transform large datasets from various sources into usable formats. Manage and optimize data storage using HDFS and MongoDB. Ensure high availability and performance of data infrastructure. Implement data quality checks, validations, and monitoring processes. Collaborate with cross-functional teams to understand data needs and deliver solutions. Write reusable and maintainable code with strong documentation practices. Optimize performance of data workflows and troubleshoot bottlenecks. Maintain data governance, privacy, and security best practices. Required qualifications to be successful in this role: Minimum 6 years of experience as a Data Engineer or similar role. Strong proficiency in Python for data manipulation and pipeline development. Hands-on experience with Apache Spark for large-scale data processing. Experience with HDFS and distributed data storage systems. Strong understanding of data architecture, data modeling, and performance tuning. Familiarity with version control tools like Git. Experience with workflow orchestration tools (e.g., Airflow, Luigi) is a plus. Knowledge of cloud services (AWS, GCP, or Azure) is preferred. Bachelors or Masters degree in Computer Science, Information Systems, or a related field. Preferred Skills: Experience with containerization (Docker, Kubernetes). Knowledge of real-time data streaming tools like Kafka. Familiarity with data visualization tools (e.g., Power BI, Tableau). Exposure to Agile/Scrum methodologies. Skills: Hadoop Hive Python SQL English Notice Period- 0-45 Days Pre requisites : Aadhar Card a copy, PAN card copy, UAN Disclaimer : The selected candidates will initially be required to work from the office for 8 weeks before transitioning to a hybrid model with 2 days of work from the office each week.
Posted 1 week ago
3 - 5 years
5 - 8 Lacs
Bengaluru
Work from Office
Qualifications : 2-3 years of experience in a Product Development or Data Engineering role. Experience with big data tools such as HDFS/S3, Spark/Flink, Hive, HBase, Kafka/Kinesis. Proficiency in SQL and experience with NoSQL databases like Elasticsearch and Cassandra/MongoDB. Familiarity with data pipeline and workflow management tools (e.g., Airflow, Luigi, Azkaban). Experience with AWS cloud services. Experience with stream-processing systems (e.g., Spark Streaming, Flink). Working knowledge of object-oriented/functional scripting languages (e.g., Java, Scala, Python). Experience building and optimizing data pipelines and datasets. Strong analytical skills and experience working with structured and unstructured data. Understanding of data transformation, data structures, dimensional modeling, metadata management, schema evolution, and workload management. Working knowledge of message queuing, stream processing, and scalable data stores. Experience collaborating with cross-functional teams in a dynamic environment. A passion for building high-quality, scalable data solutions. Bonus Points: Contributions to open-source projects. Experience working at a product company. Active GitHub profile showcasing personal projects. Working knowledge of a backend programming language (e.g., Python, Go).
Posted 3 months ago
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