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Bits In Glass - Data Engineer - Python/ETL Job Opening In Pune – Now Hiring Bits In Glass


Job description

<p><p><b>Title : </b> Senior Data Engineer / ETL Engineer.<br/><br/><b>Location : </b> Pune / Hyderabad / Mohali.<br/><br/><b>Job Summary : </b><br/><br/> As a Senior Data Engineer / ETL Engineer, you will be instrumental in designing, developing, and optimizing data processing systems that support our organization's data initiatives.<br/><br/> Your expertise in Bigdata and Google Cloud Platform (GCP) will be essential in building robust ETL pipelines that transform raw data into actionable insights.<br/><br/> You will collaborate with cross-functional teams to ensure that data is accurate, accessible, and valuable for : </b><br/><br/><b>Design and Develop ETL Processes : </b><br/><br/> - Lead the design and implementation of ETL processes using all kinds of batch/streaming tools to extract, transform, and load data from various sources into GCP.<br/><br/> - Collaborate with stakeholders to gather requirements and ensure that ETL solutions meet business needs.<br/><br/><b>Data Pipeline Optimization : </b><br/><br/> - Optimize data pipelines for performance, scalability, and reliability, ensuring efficient data processing workflows.<br/><br/> - Monitor and troubleshoot ETL processes, proactively addressing issues and bottlenecks.<br/><br/><b>Data Integration and Management : </b><br/><br/> - Integrate data from diverse sources, including databases, APIs, and flat files, ensuring data quality and consistency.<br/><br/> - Manage and maintain data storage solutions in GCP (e.g., BigQuery, Cloud Storage) to support analytics and reporting.<br/><br/><b>GCP Dataflow Development : </b><br/><br/> - Write Apache Beam based Dataflow Job for data extraction, transformation, and analysis, ensuring optimal performance and accuracy.<br/><br/> - Collaborate with data analysts and data scientists to prepare data for analysis and reporting.<br/><br/><b>Automation and Monitoring : </b><br/><br/> - Implement automation for ETL workflows using tools like Apache Airflow or Cloud Composer, enhancing efficiency and reducing manual intervention.<br/><br/> - Set up monitoring and alerting mechanisms to ensure the health of data pipelines and compliance with SLAs.<br/><br/><b>Data Governance and Security : </b><br/><br/> - Apply best practices for data governance, ensuring compliance with industry regulations (e.g., GDPR, HIPAA) and internal policies.<br/><br/> - Collaborate with security teams to implement data protection measures and address and Knowledge Sharing : </b><br/><br/> - Document ETL processes, data models, and architecture to facilitate knowledge sharing and onboarding of new team members.<br/><br/> - Conduct training sessions and workshops to share expertise and promote best practices within the team.<br/><br/><b>Qualifications : </b><br/><br/><b>Education : </b><br/><br/> Bachelors degree in Computer Science, Information Systems, or a related field.<br/><br/><b>Experience : </b><br/><br/> - Minimum of 5 years of industry experience in data engineering or ETL development, with a strong focus on Data Stage and GCP.<br/><br/> - Proven experience in designing and managing ETL solutions, including data modeling, data warehousing, and SQL development.<br/><br/><b>Technical Skills : </b><br/><br/> - Strong knowledge of GCP services (e.g., BigQuery, Dataflow, Cloud Storage, Pub/Sub) and their application in data engineering.<br/><br/> - Experience of cloud-based solutions, especially in GCP, cloud certified candidate is preferred.<br/><br/> - Experience and knowledge of Bigdata data processing in batch mode and streaming mode, proficient in Bigdata eco systems, e.g. Hadoop, HBase, Hive, MapReduce, Kafka, Flink, Spark, etc.<br/><br/> - Familiarity with Java & Python for data manipulation on Cloud/Bigdata platform.<br/><br/><b>Analytical Skills : </b><br/><br/> - Strong problem-solving skills with a keen attention to detail.<br/><br/> - Ability to analyze complex data sets and derive meaningful insights.<br/><br/><b>Company Description : </b> Bits in Glass India.<br/><br/><b>Industry Leader : </b><br/><br/> - Bits in Glass(BIG) has been in business for more than 20 years.<br/><br/> - In 2021 Bits in Glass joined hands with Crochet Technologies, forming a larger organization under the Bits In Glass brand to better serve customers across the globe.<br/><br/> - Offices across three locations in India : Pune, Hyderabad & Chandigarh.<br/><br/> - Specialized Pega partner since 2017, delivering Pega solutions with deep industry expertise and experience.<br/><br/> - Proudly ranked among the top 30 Pega partners, Bits In Glass has been one of the very few sponsors of the annual PegaWorld event.<br/><br/> - Elite Appian partner since 2008, delivering Appian solutions with deep industry expertise and experience.<br/><br/> - Operating in the United States, Canada, United Kingdom, and India.<br/><br/> - Dedicated global Pega CoE to support our customers and internal dev teams.<br/><br/><b>Employee Benefits : </b><br/><br/> - Career Growth : Opportunities for career advancement and professional development.<br/><br/> - Challenging Projects : Work on innovative, cutting-edge projects that make a global impact.<br/><br/> - Global Exposure : Collaborate with international teams and clients to broaden your professional network.<br/><br/> - Flexible Work Arrangements : Support for work-life balance through flexible working conditions.<br/><br/> - Comprehensive Benefits : Competitive compensation packages and comprehensive benefits including health insurance, and paid time off.<br/><br/> - Learning OpportunitiesGreat opportunity to upskill yourself and work on new technologies like AI-enabled Pega solutions, Data engineering, Integration, cloud migration etc.<br/><br/><b>Company Culture : </b><br/><br/> - Collaborative Environment : Emphasizes teamwork, innovation, and knowledge sharing.<br/><br/> - Inclusive Workplace : Values diversity and fosters an inclusive environment where all ideas are respected.<br/><br/> - Continuous Learning : Encourages professional development through ongoing learning opportunities and certifications.<br/><br/><b>Core Values : </b><br/><br/> - Integrity : Commitment to ethical practices and transparency in all business dealings.<br/><br/> - Excellence : Strive for the highest standards in everything we do.<br/><br/> - Client-Centric Approach : Focus on delivering the best solutions tailored to client needs.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your Bits In Potential: Insight & Career Growth Guide


Real-time Bits In Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Bits In in Pune, India, highlighting market share and opportunities for professionals in Bits In roles.

67827 Jobs in India
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669 Jobs in Pune
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Are You Looking for Bits In Glass Data Engineer Python/ETL Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Bits In Glass adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Pune. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Bits In Glass Data Engineer Python/ETL typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Bits In Glass Data Engineer Python/ETL Job Success

Bits In Glass interview tips for Bits In Glass   Data Engineer   Python/ETL

Here are some tips to help you prepare for and ace your Bits In Glass Data Engineer Python/ETL job interview:

Before the Interview:

Research: Learn about the Bits In Glass's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Bits In Glass Data Engineer Python/ETL interview at Bits In Glass, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Bits In Glass's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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