Job Responsibilities: Senior Data Engineer

Hiring Organization: Alliance Bernstein

Educational Requirements: Bachelor Degree

Industry: Private

Employment Type: Full Time

Salary: ₹35k/Month

Location: Haryana, India

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Task Summary:

Who You’ll Work With:

Fixed Income Investment Technology (“FIIT”) bunch builds software that the Fixed Income business of AB involves in performing functions like Central Exploration, Quantitative examination, Portfolio The executives, Request Generation, Trading and Middle office and BackOffice operations. It accomplices with business to comprehend their difficulties and help them by providing innovative innovation solutions. We re-engineer the cycle where applicable in collaboration with business to assist with scaling their business and be efficient in this dynamic economic situations. Our Data Stockroom ingests and departures critical reference and transaction data from up-stream and down-stream frameworks.

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We are seeking a senior professional to join our Fixed Income Investment Innovation group. With complex architecture which is center to how we service FI clients (and then some), this is a critical job where somebody with industry experience will be a solid match allowing us to scale our cycles. Data is a continually growing entity and we really want to have a perfect architecture to align our data with supporting investment group needs.

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The ongoing data group has a ton of junior – mid level staff and needs somebody with solid technical skills and leadership skills to design versatile infrastructure. The ideal candidate would have experience with designing, implementing, maintaining, monitoring and execution tuning ETL and ELT pipelines using technologies like Purplish blue, Airflow, Python, Prophet and SQL server. They would be proficient in various data designs like Gamma, Kappa, Data network/fabric, AKS, Data Lakes and Delta Lake

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What You’ll Do:

The primary venture that the candidate will contribute to all modules within Fixed Income innovation. These modules support Senior Portfolio Managers, Portfolio Managers, Assistant Portfolio Managers, Essential and Quantitative exploration analysts, Dealers, Middle-office, and Operations functions.

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Data The executives Devices and Technologies:

• Proficiency in data the executives devices, for example, SQL-based databases (e.g., SQL Server, MySQL, PostgreSQL, Prophet) and NoSQL databases (e.g., MongoDB, Cassandra).
• Experience with data integration and ETL apparatuses.
• Information on data warehousing ideas and technologies, including star blueprints, data shops, and data lakes.
• Familiarity with cloud-based data stages (e.g., AWS Redshift, Google BigQuery, Purplish blue SQL Data Distribution center) and related services.
• Understanding of big data technologies like Hadoop, Flash, and related environment parts (e.g., HDFS, Hive, Pig).

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Data Modeling and Design:

• Proficient with designing an optimal Data stockroom and Operational data store using present day cloud designs.
• Proficient in data modeling techniques and devices, for example, emergency room modeling and UML diagrams.

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• Experience in designing and implementing data mappings, including reasonable, logical, and physical models.
• Information on dimensional modeling and familiarity with industry-standard systems like Kimball or Data Vault.
• Ability to optimize database execution through indexing, partitioning, and question tuning.

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Data Administration and Compliance:

• Understanding of data administration systems, data stewardship, and data ownership ideas.
• Information on data privacy regulations (e.g., GDPR, CCPA) and experience implementing data protection measures.
• Familiarity with data security best practices, encryption techniques, access controls, and client authentication mechanisms.

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Data Quality Affirmation:

• Experience in data profiling techniques and apparatuses to evaluate data quality and identify data anomalies.
• Proficiency in data cleansing strategies, data validation techniques, and data transformation rules.
• Information on data quality systems, metrics, and best practices for measuring and monitoring data quality.

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Programming and Scripting:

• Proficiency in at least one programming dialects like Python, Java, or Scala for data manipulation and transformation assignments.
• Experience in writing complex SQL queries and put away strategies for data retrieval and manipulation.
• Familiarity with scripting dialects like Slam or PowerShell for automation and interaction improvement.

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Data Visualization and Reporting:

• Information on data visualization instruments like Scene, Power BI, or QlikView for creating interactive and meaningful visualizations.
• Ability to design and foster reports, dashboards, and data-driven presentations to communicate insights to partners.

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Cloud and Distributed Computing:

• Understanding of distributed computing ideas and experience working with cloud stages (e.g., AWS, Sky blue, or GCP).
• Information on distributed computing systems, for example, Apache Flash for huge scope data processing and analytics.

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Software Improvement and Agile Practices:

• Familiarity with software improvement methodologies, particularly Agile/Scrum, and experience working in Agile advancement groups.
• Understanding of software improvement lifecycle (SDLC) cycles and experience collaborating with advancement groups.

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What We’re Looking For:

• Educational Foundation: A bachelor’s or alternately master’s degree in Software engineering, Software Engineering, Data Science, or a connected field is frequently required. Postgraduate educations can be profitable.
• Programming Skills: Proficiency in programming dialects usually utilized in data engineering, like Python, Java, Scala, or SQL.

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• Big Data Technologies: Solid information on big data technologies and systems, for example, Apache Hadoop, Apache Flash, Apache Kafka, Apache Hive, or Apache Flink.
• Database The executives: Experience with various database frameworks, both traditional relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Data Modeling: Expertise in designing and implementing data models to facilitate efficient data stockpiling, retrieval, and analysis.

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• Data Warehousing: Familiarity with data warehousing ideas and technologies, like Purplish blue Neurotransmitter, Amazon Redshift, Google BigQuery, or Snowflake.
• ETL/ELT: Experience in designing and implementing ETL/ELT cycles to extricate, change, and burden data from various sources into the data stockroom.
• Data Pipeline The executives: Ability to make and oversee data pipelines for data ingestion, integration, and transformation.
• Experience with scheduling apparatuses like Airflow, Control-M or Auto-sys

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• Cloud Services: Experience with distributed computing stages like AWS, Purplish blue, or Google Cloud, and familiarity with their data services.
• Data Administration and Security: Information on data administration principles and best practices, including data security and privacy measures.
• Data Quality and Testing: Understanding of data quality appraisal strategies and proficiency in data testing techniques.
• Execution Optimization: Skills to optimize data pipelines and queries for better execution and scalability.

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• Critical thinking and Troubleshooting: Solid critical thinking abilities and the capability to identify and determine complex data engineering issues.
• Group Leadership: Leadership and mentoring skills, as senior data engineers frequently lead and guide different individuals from the data engineering group.
• Communication: Effective communication skills to work together with cross-functional groups, communicate technical ideas to non-technical partners, and report data engineering processes.

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What Our Identity Is:

We are a leading worldwide investment the executives firm offering high-quality exploration and diversified investment services to institutional clients, retail investors, and private-wealth clients in significant business sectors all over the planet. With north of 4,000 representatives across 57 locations operating in 26 countries and jurisdictions, our ambition is simple: to be the most believed investment firm on the planet. We realize that it’s our kin who give us a competitive benefit and drive outcome on the lookout, and our objective is to make an inclusive culture that rewards difficult work.

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Our way of life of intellectual curiosity and collaboration establishes an environment where you can thrive and take care of your best responsibilities. Whether you’re producing provocative examination, identifying compelling investment opportunities, infusing new technologies into our business or providing smart advice to our clients, we are completely invested in you. If you’re prepared to challenge your limits and engage your vocation, join us!

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About AB India Benefits:

Here are a few general advantages that workers at innovation and organizations like AB could regularly get:

1. Medical services Advantages: This incorporates clinical, dental, and vision inclusion for representatives and once in a while their wards.
2. Retirement Plans: Many organizations offer 401(k) plans or comparative retirement investment funds choices to assist representatives with putting something aside for their future.
3. Taken care of Time (PTO): This incorporates excursion days, occasions, and wiped out leave.
4. Life coverage and Handicap Inclusion: A few organizations give disaster protection inclusion and inability advantages to workers.
5. Adaptable Spending Records (FSAs) or Wellbeing Investment accounts (HSAs): These records permit representatives to save pre-charge dollars for qualified clinical costs.
6. Worker Help Projects (EAPs): EAPs might offer directing administrations, emotional wellness backing, and assets for representatives and their families.
7. Proficient Advancement Open doors: Organizations frequently energize persistent learning and may give preparing projects, studios, or educational cost repayment.
8. Investment opportunities or Value: In innovation related organizations, representatives might have chances to get investment opportunities or value as a component of their pay.
9. Wellbeing Projects: A few organizations offer wellbeing drives, for example, rec center participations, wellness classes, or wellbeing and health assets.
10. Representative Limits: Organizations might give limits on their items or administrations or bring associations with different organizations to the table for worker limits.
11. Adaptable Work Plans: This could incorporate choices like remote work, adaptable hours, or compacted work filled weeks.
12. Parental Leave: Organizations frequently give parental pass on strategies to help representatives who are inviting another youngster.